bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on gear fault degree recognition method based on multi sensor fusion
Authors: Chen Xihui 
Published: August 2020

AbstractThe fatal fault of gear will inevitably experience the evolution of different fault degrees, and the accurate recognition of the fault degree of gear has more practical significance for predictive maintenance and efficient operation. A gear fault degree recognition method based on multi sensor fusion is proposed. Ensemble local mean decomposition (ELMD) is used to decompose the vibration signal of gear, which can eliminate the aliasing effect of LMD. Then, the fault feature is extracted by using envelope spectrum information entropy and time-domain kurtosis. Based on the initial recognition of the sub evidence formed by a signal sensor based on wavelet neural network (WNN), the basic belief function assignment and fusion methods of Dempster-Shafer (D-S) evidence theory are determined, and the accurate recognition based on multi sensor fusion for different fault degree of gear is realized, which is verified by experiments.
Research on establishment and verification of projectile and artillery coupling system virtual prototype
Authors: You Xuemin , Sun Yezun , Xu Xu , Li Bo , Yang Zhenqian , Liu Jiangong 
Published: August 2020

Abstract
A virtual prototype of a projectile and artillery coupling system was constructed and a virtual shooting test was performed. The virtual prototype of the projectile and artillery coupling system was verified by using key parameters when sitting behind the body tube. The results show that the projectile-artillery coupling model has good consistency with the actual mechanical system, which confirms that the virtual prototype of the projectile-artillery coupling system can basically reflect the dynamic characteristics of the artillery during launch.
Analysis of noise characteristics of spur face gear under different installation errors
Authors: Wang Yanzhong , Su Guoying 
Published: August 2020

Abstract
Face gear drives have been widely used in helicopter drive system, but there are few research literatures on meshing noise. In order to study the relationship between installation errors and gear meshing noise, the tooth surface equation of spur face gear is derived based on the principle of gear shaping; Based on the virtual meshing relative position of gear shaper, pinion and spur face gear, the control equation of installation distance between pinion and spur face gear is derived; Based on the method of orthogonal test, the noise test scheme with installation errors is set up, and the meshing noise characteristics of spur face gear are obtained. The research provides a theoretical basis for the development of noise reduction technology of spur face gears.
Dynamic performance of planar mechanism with joint clearance considering stochastic parameters
Authors: Lu Zhiqian , Zhang Li , Tao Junyong 
Published: August 2020

Abstract
Due to the influence of working temperature and pressure, collision restitution coefficient, Poisson’s ratio, friction coefficient and other material parameters could range in different intervals. However, the uncertainties and variability of material parameters is usually ignored in most researches. Along with vibration and wear, joint clearance is inevitable and widely exists in mechanical devices, which also should be taken into consideration. In this paper, the kinematic and dynamic equations are developed based on continuous Lankarani-Nikravesh contact model and the modified Coulomb friction model using a typical crank-slider mechanism as the research object. The influence of stochastic parameters (obeying normal distribution) on the dynamic characteristics of crank-slider mechanism is studied. In addition, dynamic analysis of the crank-slider mechanism with cylindrical joint clearance of different sizes is carried out in MATLAB environment. Results show that parameter random uncertainty should also be involved in dynamic models.
Study on fluidization process in jet flow dredging device and the effects of device structure to sand collecting performance
Authors: Zhang Yue , Song Jinchun 
Published: August 2020

Abstract
The device structure has important influence on the sand collecting performance of jet flow dredging device. In order to study the effects of device structure, this paper presents a research for fluidization process of compact packing sand in jet flow dredging device. The calculation method which considers the cohesive strength between particles is proposed. The effects of arrangement of jet pipe and diameter ratio between jet pipe and suction pipe on sand collecting performance are studied. By comparison, we found that the structure of jet pipe inside suction pipe has better sand collecting performance than it outside suction pipe. With the jet velocity increasing, the pipe diameter ratio corresponding to the maximum concentration of particle phase at outlet reduces.
A comparison of bending resistance of square thin-walled tubes with different internal reinforcements
Authors: Xie Zhongyou 
Published: August 2020

Abstract
Thin-walled structures with light weight are applied widely in some engineering fields, and thin-walled tubes are liable to local deformation under transverse loading. In the paper, six internal reinforced configurations of square thin-walled tubes were presented and their bending resistance was compared with each other based on finite element analysis by ABAQUS code. The numerical results reveal that the internal reinforcement plays significant role on the bending resistance, and some reinforcing strategies have evident advantage over the empty tube without any reinforcement considering the weight specific energy absorption. In addition, the reinforced configurations have more designability than the ordinary empty tube to obtain more specific energy-absorbing capacity.
Surface-process correlation for an ink-jet printed transparent fluoroplastic
Authors: Gomez Carlos , Campanelli Carlo , Su Rong , Leach Richard 
Published: August 2020

Abstract
Ink-jet printing is one of the key technologies in the field of defined polymer deposition. There is currently a lack of knowledge regarding how some fluoropolymers, in this case THV 221, can be ink-jet printed. A quantitative analysis of the micro-scale areal surface topography measured with coherence scanning interferometry can advance the understanding of the correlation between the ink-jet printing process and the resulting surface topography. Our experimental design covers a variety of ink-jet printed THV 221 structures with basic geometric shapes such as dots and films, ranging from a few nanometres to tens of micrometres in height, and from tens of micrometres to a few millimetres in spatial wavelength. Relevant printing parameters, including polymer concentration, drop spacing and number of layers have been selected and varied to produce the samples used for the study. This investigation also provides an insight into how to control and optimise the quality of THV 221 printed parts.
Telomere length and its relationships with lifestyle and behavioural factors: variations by sex and race/ethnicity
Authors: Vyas Chirag M , Ogata Soshiro , Reynolds Charles F , Mischoulon David , Chang Grace , Cook Nancy R , Manson JoAnn E , Crous-Bou Marta , De Vivo Immaculata , Okereke Olivia I 
Published: August 2020

Abstract

Background
Adherence to healthy lifestyles/behaviours promotes healthy ageing. However, little is known about whether age, sex and/or race/ethnicity moderate associations of lifestyle/behavioural factors with relative telomere length (RTL), a potential biomarker of ageing.

Methods
We included 749 midlife to older non-Hispanic White (n = 254), Black (n = 248) and Hispanic (n = 247) US participants [mean (standard deviation) age = 69.3 (7.2) years; women: 50.5%]. We extracted genomic DNA from peripheral leucocytes. RTL was assayed using real-time quantitative polymerase chain reaction. Multivariable regression was used to examine associations between lifestyle/behavioural exposures (i.e. physical activity, alcohol consumption, smoking and depression) with RTL.

Results
Increasing chronological age was associated with shorter RTL (P &lt; 0.01). Higher physical activity was associated with longer RTL (P-trend = 0.03); daily versus never/rare alcohol consumption and 30+ versus &lt;5 smoking pack-year were associated with shorter RTLs (P-trend = 0.02). Associations varied significantly by sex and race/ethnicity. The association between physical activity and longer RTL appeared strongest among non-Hispanic Whites (P-interaction = 0.01). Compared to men, women had stronger associations between heavy smoking and shorter RTLs (P-interaction = 0.03). Light/moderate alcohol consumption (monthly/weekly) was associated with longer RTL among non-Hispanic Whites, while daily consumption was related to shorter RTLs among Blacks and Hispanics (P-interactions &lt; 0.01). Associations of daily alcohol and heavy smoking with shorter RTLs were particularly apparent among Black women.

Conclusion
We observed novel variations by sex and race/ethnicity in associations between lifestyle/behavioural factors and RTL. Further work is needed to replicate these findings and to address potential public health implications for modifying strategies by sex or across racial/ethnic groups to optimise lifestyles/behaviours for healthy ageing.
The Utility of Spot vs 24-Hour Urine Samples for Metal Determination in Veterans With Retained Fragments
Authors: Gaitens Joanna M , Brown Clayton H , Strathmann Frederick G , Xu Hanna , Lewin-Smith Michael R , Velez-Quinones Maria A , McDiarmid Melissa A 
Published: August 2020

Abstract

Objectives
The objective of this investigation is to explore the utility of using a spot urine sample in lieu of a 24-hour collection in assessing fragment-related metal exposure in war-injured veterans.

Methods
Twenty-four veterans collected each urine void over a 24-hour period in separate containers. Concentrations of 13 metals were measured in each void and in a pooled 24-hour sample using inductively coupled plasma mass spectrometry. To assess the reliability of spot sample measures over time, intraclass correlations (ICCs) were calculated across all spot samples. Lin’s concordance correlation coefficient was used to assess agreement between a randomly selected spot urine sample and each corresponding 24-hour sample.

Results
In total, 149 spot urine samples were collected. Ten of the 13 metals measured had ICCs more than 0.4, suggesting “fair to good” reliability. Concordance coefficients were more than 0.4 for all metals, suggesting “moderate” agreement between spot and 24-hour concentrations, and more than 0.6 for seven of the 13 metals, suggesting “good” agreement.

Conclusions
Our fair to good reliability findings, for most metals investigated, and moderate to good agreement findings for all metals, across the range of concentrations observed here, suggest the utility of spot urine samples to obtain valid estimates of exposure in the longitudinal surveillance of metal-exposed populations.
Predictive Value of Plasma Long Noncoding RNA Associated With Microvascular Invasion in Hepatic Carcinoma for Preeclampsia
Authors: Li Ying , Yang Ning , Zou Xiao-yi , Li Yuan-bing , Zhang Xin , Wei Mao-ti , Li Yu-ming 
Published: August 2020

Abstract

Background
To investigate plasma levels of long noncoding RNA associated with microvascular invasion in hepatic carcinoma (LncRNA MVIH) in patients with preeclampsia (PE) and to explore its predictive value for PE either alone or in combination with other indicators.

Methods
Plasma samples were obtained from patients in a prospective pregnancy cohort at 7–16 weeks of gestation. Patients were divided into PE and control groups according to pregnancy outcomes. Real-time polymerase chain reaction was used to detect plasma levels of LncRNA MVIH. A univariate analysis was conducted on all indicators. Logistic regression analysis was performed on indexes with statistical differences. The receiver operating characteristic curve was used to evaluate the predict value of each independent risk factor and regression model.

Results
Before 16 weeks of pregnancy, body mass index, systolic blood pressure, diastolic blood pressure, mean arterial pressure, white blood cell (WBC), hemoglobin, alanine aminotransferase (ALT), uric acid (UA), and urine protein were positively correlated with PE while LncRNA MVIH was negatively correlated with PE. Independent markers with predictive value were LncRNA MVIH, UA, WBC, ALT, and urine protein, with the area under curve (AUC) in predicting PE of 0.763, 0.741, 0.663, 0.666, and 0.601, respectively. After combining these indexes, the AUC increased to 0.890 with sensitivity, specificity, and accuracy of 86.4%, 83.1%, and 84.7% respectively.

Conclusions
Plasma levels of LncRNA MVIH are negatively correlated with PE and have a predictive value for PE. The combination of LncRNA MVIH, UA, WBC, ALT, and urine protein has a greater predictive value.
Second hits exacerbate alcohol-related organ damage: an update
Authors: Osna Natalia A , Ganesan Murali , Seth Devanshi , Wyatt Todd A , Kidambi Srivatsan , Kharbanda Kusum K 
Published: August 2020

Abstract
Chronic and excessive alcohol abuse cause direct and indirect detrimental effects on a wide range of body organs and systems and accounts for ~4% of deaths worldwide. Many factors influence the harmful effects of alcohol. This concise review presents newer insights into the role of select second hits in influencing the progression of alcohol-induced organ damage by synergistically acting to generate a more dramatic downstream biological defect. This review specifically addresses on how a lifestyle factor of high fat intake exacerbates alcoholic liver injury and its progression. This review also provides the mechanistic insights into how increasing matrix stiffness during liver injury promotes alcohol-induced fibrogenesis. It also discusses how hepatotropic viral (HCV, HBV) infections as well as HIV (which is traditionally not known to be hepatotropic), are potentiated by alcohol exposure to promote hepatotoxicity and fibrosis progression. Finally, this review highlights the impact of reactive aldehydes generated during alcohol and cigarette smoke coexposure impair innate antimicrobial defense and increased susceptibility to infections. This review was inspired by the symposium held at the 17th Congress of the European Society for Biomedical research on Alcoholism in Lille, France entitled ‘Second hits in alcohol-related organ damage’.
Variation in reproductive effort, genetic diversity and mating systems across Posidonia australis seagrass meadows in Western Australia
Authors: Sinclair Elizabeth A , Edgeloe Jane M , Anthony Janet M , Statton John , Breed Martin F , Kendrick Gary A 
Published: August 2020

Abstract
Populations at the edges of their geographical range tend to have lower genetic diversity, smaller effective population sizes and limited connectivity relative to centre of range populations. Range edge populations are also likely to be better adapted to more extreme conditions for future survival and resilience in warming environments. However, they may also be most at risk of extinction from changing climate. We compare reproductive and genetic data of the temperate seagrass, Posidonia australis on the west coast of Australia. Measures of reproductive effort (flowering and fruit production and seed to ovule ratios) and estimates of genetic diversity and mating patterns (nuclear microsatellite DNA loci) were used to assess sexual reproduction in northern range edge (low latitude, elevated salinities, Shark Bay World Heritage Site) and centre of range (mid-latitude, oceanic salinity, Perth metropolitan waters) meadows in Western Australia. Flower and fruit production were highly variable among meadows and there was no significant relationship between seed to ovule ratio and clonal diversity. However, Shark Bay meadows were two orders of magnitude less fecund than those in Perth metropolitan waters. Shark Bay meadows were characterized by significantly lower levels of genetic diversity and a mixed mating system relative to meadows in Perth metropolitan waters, which had high genetic diversity and a completely outcrossed mating system. The combination of reproductive and genetic data showed overall lower sexual productivity in Shark Bay meadows relative to Perth metropolitan waters. The mixed mating system is likely driven by a combination of local environmental conditions and pollen limitation. These results indicate that seagrass restoration in Shark Bay may benefit from sourcing plant material from multiple reproductive meadows to increase outcrossed pollen availability and seed production for natural recruitment.
Testosterone induces plumage ornamentation followed by enhanced territoriality in a female songbird
Authors: Boersma Jordan , Enbody Erik D , Jones John Anthony , Nason Doka , Lopez-Contreras Elisa , Karubian Jordan , Schwabl Hubert 
Published: August 2020

AbstractWe know little of the proximate mechanisms underlying the expression of signaling traits in female vertebrates. Across males, the expression of sexual and competitive traits, including ornamentation and aggressive behavior, is often mediated by testosterone. In the white-shouldered fairywren (Malurus alboscapulatus) of New Guinea, females of different subspecies differ in the presence or absence of white shoulder patches and melanic plumage, whereas males are uniformly ornamented. Previous work has shown that ornamented females circulate more testosterone and exhibit more territorial aggression than do unornamented females. We investigated the degree to which testosterone regulates the expression of ornamental plumage and territorial behavior by implanting free-living unornamented females with testosterone. Every testosterone-treated female produced a male-like cloacal protuberance, and 15 of 20 replaced experimentally plucked brown with white shoulder patch feathers but did not typically produce melanic plumage characteristic of ornamented females. Testosterone treatment did not elevate territorial behavior prior to the production of the plumage ornament or during the active life of the implant. However, females with experimentally induced ornamentation, but exhausted implants, increased the vocal components of territory defense relative to the pretreatment period and also to testosterone-implanted females that did not produce ornamentation. Our results suggest that testosterone induces partial acquisition of the ornamental female plumage phenotype and that ornament expression, rather than testosterone alone, results in elevations of some territorial behaviors.
Depositing annotated sequences in GenBank: there needs to be a better way
Authors: Smith David Roy 
Published: August 2020

Abstract
Submitting sequences to the National Center for Biotechnology Information (NCBI) is an integral part of research and the publication process for many disciplines within the life sciences, and it will only become more important as sequencing technologies continue to improve. Here, I argue that the available infrastructure and resources for uploading data to NCBI—especially the associated annotations of eukaryotic genomes—are inefficient, hard to use and sometimes just plain bad. This, in turn, is causing some researchers to forgo annotations entirely in their submissions. The time is overdue for the development of sophisticated, user-friendly software for depositing annotated sequences in GenBank.
Ribbon: intuitive visualization for complex genomic variation
Authors: Nattestad Maria , Aboukhalil Robert , Chin Chen-Shan , Schatz Michael C 
Published: August 2020

Abstract

Summary
Ribbon is an alignment visualization tool that shows how alignments are positioned within both the reference and read contexts, giving an intuitive view that enables a better understanding of structural variants and the read evidence supporting them. Ribbon was born out of a need to curate complex structural variant calls and determine whether each was well supported by long-read evidence, and it uses the same intuitive visualization method to shed light on contig alignments from genome-to-genome comparisons.

Availability and implementation
Ribbon is freely available online at http://genomeribbon.com/ and is open-source at https://github.com/marianattestad/ribbon.

Supplementary information
Supplementary data are available at Bioinformatics online.
SOAPMetaS: profiling large metagenome datasets efficiently on distributed clusters
Authors: He Shixu , Huang Zhibo , Wang Xiaohan , Fang Lin , Li Shengkang , Zhang Yong , Zhang Gengyun 
Published: August 2020

Abstract

Summary
Rapid increase of the data size in metagenome researches has raised the demand for new tools to process large datasets efficiently. To accelerate the metagenome profiling process in the scenario of big data, we developed SOAPMetaS, a marker gene-based multiple-sample metagenome profiling tool built on Apache Spark. SOAPMetaS demonstrates high performance and scalability to process large datasets. It can process 80 samples of FASTQ data, summing up to 416 GiB, in around half an hour; and the accuracy of species profiling results of SOAPMetaS is similar to that of MetaPhlAn2. SOAPMetaS can deal with a large volume of metagenome data more efficiently than common-used single-machine tools.

Availability and implementation
Source code is implemented in Java and freely available at https://github.com/BGI-flexlab/SOAPMetaS.

Supplementary information
Supplementary data are available at Bioinformatics online.
Evaluating recommender systems for AI-driven biomedical informatics
Authors: La Cava William , Williams Heather , Fu Weixuan , Vitale Steve , Srivatsan Durga , Moore Jason H 
Published: August 2020

Abstract

Motivation
Many researchers with domain expertise are unable to easily apply machine learning (ML) to their bioinformatics data due to a lack of ML and/or coding expertise. Methods that have been proposed thus far to automate ML mostly require programming experience as well as expert knowledge to tune and apply the algorithms correctly. Here, we study a method of automating biomedical data science using a web-based AI platform to recommend model choices and conduct experiments. We have two goals in mind: first, to make it easy to construct sophisticated models of biomedical processes; and second, to provide a fully automated AI agent that can choose and conduct promising experiments for the user, based on the user’s experiments as well as prior knowledge. To validate this framework, we conduct an experiment on 165 classification problems, comparing to state-of-the-art, automated approaches. Finally, we use this tool to develop predictive models of septic shock in critical care patients.

Results
We find that matrix factorization-based recommendation systems outperform metalearning methods for automating ML. This result mirrors the results of earlier recommender systems research in other domains. The proposed AI is competitive with state-of-the-art automated ML methods in terms of choosing optimal algorithm configurations for datasets. In our application to prediction of septic shock, the AI-driven analysis produces a competent ML model (AUROC 0.85±0.02) that performs on par with state-of-the-art deep learning results for this task, with much less computational effort.

Availability and implementation
PennAI is available free of charge and open-source. It is distributed under the GNU public license (GPL) version 3.

Supplementary information
Supplementary data are available at Bioinformatics online.