bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on fault diagnosis and early warning of reciprocating compressor based on stacked convolutional autoencoder optimized by gradient differential evolution
Authors: Li H , Liu XM , Mao ZW , Zhang JJ 
Published: September 2021

Abstract
The reciprocating compressor is one of the key equipment in the process industrial field. Due to its complex structure and motion state, the bearing bush of the connecting rod is prone to wear failure. In the early stage of wear failure, the monitoring signal signs are very weak. As a result, it has produced bad results that identify the fault signs by using traditional data processing and spectrums analytical methods. Aiming at the early fault identification of the bearing bush, unsupervised feature mining based on auto-encoder principle and super-parameter optimization based on Gradient-Differential-Evolution are utilized, and an early-warning-model based on Gradient-Differential-Evolution and Stacked-Convolutional-Autoencoder is proposed. In order to study the sensitivity of the vibration signal and piston rod settlement signal to the early stage of wear failure, the two signals are input into the early warning model for comparison. In addition, they are fused to verify the improvement ability of multi-source signal on early warning. Moreover, to verify the early fault recognition performance of the proposed methods, the proposed method is compared with the other two early-warning-models based on Stacked-Autoencoder and Convolutional-Neural-Networks. The actual fault case analysis results show that based on the Gradient-Differential-Evolution optimization model, the difficulty of parameter setting can be effectively reduced and the proposed method has significant advantages to detect the early warning timely and effectively.
A numerical CFD simulation method using static grid based on momentum compensation for screw pumps
Authors: Yan Di , Tang Qian 
Published: September 2021

Abstract
Three-dimensional CFD numerical simulation is the most powerful tool for performance analysis of screw machines. This paper compares and analyzes two CFD numerical calculation methods based on moving and static grid, and proposes a static grid calculation method based on momentum compensation, which takes into account the wall velocity and fluid momentum on the rotor surface when the screw rotor rotates. That is, while the static grid is used, the rotation characteristics of the fluid domain between the rotors are considered. Compared with the commonly used static grid method, this method greatly improves the accuracy of the calculation, the calculation error of mass flow rate is reduced from 2.32% to 1.14%. At the same time, it is simple and easy to implement. It is also suitable for modelling screw machines with special-shaped rotors, which are still challenge for moving grids. The accuracy and reliability of the method are verified by comparison with the calculation results of the moving grid and the experiments.
Development of a Reconfigurable Prototype Peristaltic Compressor
Authors: Islam M , Tubbs C , Bengs C , Bradshaw C R 
Published: September 2021

Abstract
Traditional positive displacement compressors require valves, internal volume ratios or both to operate. These two features generate the majority of the losses in compressors. The peristaltic compressor is a novel compressor architecture that feature valve-less compression with variable volume ratios, which provides the potential for highly efficient compression. This paper will present a design of a reconfigurable prototype peristaltic compressor and illustrate how the structure of the compression chamber and actuation pattern affect the compressor efficiency. The prototype utilizes a flexible diaphragm constrained and sealed against a female die to make a compression chamber. Linear actuators with male dies press the diaphragm sequentially against the female die to move and compress the fluid. Preliminary experiments were performed using air as the working fluid for volume ratios ranging from 1.143 to 8 and operational frequencies ranging from 1.28 to 2.31 Hz. These results suggest that the actuation pattern has an impact on the major parameters such as mass flow, displacement volume, and pressure ratio which influence the overall efficiency of the compressor.
Simulation and optimisation of opened sewage concentration air cycle combined with the heat pump under actual weather conditions
Authors: Zhang Y , Guo T S , Wu W F , Li C Y , Wang X L 
Published: September 2021

Abstract
Opened air cycle is a promising sewage concentration technology using heated air as the medium to absorb water from the sewage. Unlike closed cycles, the air flow is directly ejected out of the system after humidification in opened cycles. Operating conditions and the circle’s efficiency are highly affected by the weather, such as the time-varying ambient temperature and relative humidity. Since the evaporating temperature relies on the ambient temperature, to restrain its dependence, the evaporator was proposed combined with the ejected air flow in this paper. Such a design could improve the efficiency of the heat pump by increasing its evaporating temperature. Simulation of the newly proposed open sewage concentration cycle was performed to investigate its thermal process and economic efficiency under actual weather conditions. Thermodynamic models of the compressor, heat exchangers and the sewage concentration chamber were established. Climatic conditions at Xi’an, China were referenced as actual weather conditions. Optimisation of the working parameters was performed to achieve higher economic index. The results demonstrated that the average monthly power consumption of the optimized cycle was 0.3508 kWh/kg. Compared with the published data of the closed cycle, the total cost of new opened cycle was nearly one-third lower.
CFD analysis on the effect of discharge port geometry of the hook and claw vacuum pumps
Authors: Theofanidis K , Lu Y , Kovacevic A 
Published: September 2021

Abstract
Due to the sharp discontinuities in the profile of hook and claw pumps which make it difficult to produce a good quality body fitted mesh, their CFD simulations are challenging. However, the cut-cell Cartesian meshing method is capable to handle the very complex moving geometries and is easy to setup. However it may lead to conservativeness issues. The aim of this paper is to investigate the influence of discharge port geometry of the hook and claw pump on its performance by using commercial software ANSYS Forte, which utilizes automatic mesh generation using the cut-cell Cartesian method. Firstly, five discharge ports with different geometries were designed. Secondly, the pumps with these different port configurations were set up and ran in the ANSYS Forte. Finally, the power and volume flow rate were compared. It was noticed that the geometry with the extended discharge port tip and the preliminary discharge port opening result in performance and reliability improvements. The simulation results can be used to further optimize the discharge port during the design of these machines.
Application of DLVO Modeling to Study the Effect of Silica Nanofluid to Reduce Critical Salt Concentration in Sandstones
Authors: Muneer Rizwan , Hashmet Muhammad Rehan , Pourafshary Peyman 
Published: September 2021

Abstract
Critical salt concentration (CSC) is the minimum salt concentration of injected water used for different oil recovery operations, below which fines migration initiates within sandstone reservoirs having clay contents and could be one of the potential causes of formation damage. This paper estimated CSC for Berea sandstone-NaCl brine system experimentally and by using DLVO modeling based on Van der Waals and electric double layer (EDL) surface forces. Furthermore, the effectiveness of silica nanofluid to reduce CSC and control fines migration was investigated. At different salinities of the injected fluid, the experimental CSC was determined by performing corefloods and analyzing effluent turbidity and absorbance. Attractive (van der Waals) and repulsive (EDL) forces were estimated by DLVO theory to predict the value of CSC. The experimental data were used to validate the model. The application of silica nanoparticles (NPs) was studied by injecting 0.1 wt% silica nanofluid and the resultant reduction in CSC was observed. During the injection of brines at different salinities ranging from 0.2 M to 0.05 M into the sandstone porous media, fines production was detected in the effluent after the injection of 0.1M NaCl solution, indicating that the CSC was 0.1M for this sand-fine-brine (SFB) system. The zeta potentials for SFB systems of different salinities were measured by zeta-sizer and were in the range of -32 mV to -24 mV. DLVO model based on attractive and repulsive forces was then used to predict the CSC, at which the total DLVO energy shifts from negative to positive and was around 0.1M for NaCl solution. The model prediction was in close agreement with the experimental results. Both the experiment and DLVO model showed the efficiency of silica nanofluid to mitigate fines migration as no fines production was observed for 0.1M NaCl case after the treatment with nanofluid. The estimation of CSC is critical to avoid formation damage during many oil recovery processes, included but not limited to low salinity waterflooding and alkaline flooding. The utilization of nanofluid provided promising results in controlling fines migration and reducing CSC. The proposed model based on DLVO theory can work as a useful tool to predict CSC without the need for extensive experimental work.
Assessment of the corrosion susceptibility of 434 ferritic stainless steel in chloride-sulphate solution
Authors: Loto Roland T. 
Published: September 2021

Abstract
The corrosion polarization behaviour of 434 ferritic stainless (434ST) was studied in 1 M H2SO4 at 0.25% to 2% NaCl concentration through potentiodynamic polarization techniques and open circuit potential analysis. Results showed corrosion rate of 434ST at in 1 M H2SO4 solution at 0% NaCl concentration is 5.51 mm/y. However, at 0.25% NaCl concentration corrosion output decreased to 1.31 mm/y due to competitive adsorption mechanism with dissolved O2 atoms. Increment in NaCl concentration causes increase in corrosion rate till 1% NaCl concentration at 5.97 mm/y. After 1% NaCl concentration, the corrosion of 434ST attained threshold deterioration mechanism with values varying between 6.20 mm/y and 6.56 mm/y. Shift in corrosion potential plot with respect to 434ST at 0% NaCl concentration indicates anodic corrosion and passivation mechanism on the steel surface which was also proven from the anodic Tafel slope values. Open circuit potential plots showed plots at 2% NaCl concentration showed the least thermodynamic tendency to corrode with the strongest shift to electropositive potentials which culminated at -0.439 V at 5400 s of observation. The plot at 0% NaCl solution exhibited the most electronegative plot configuration by reason of the deteriorating reaction of SO4
2- on the steel.
Further Evidence of Psychometric Performance of the Self-care of Diabetes Inventory in Adults With Type 1 and Type 2 Diabetes
Authors: De Maria Maddalena , Fabrizi Diletta , Luciani Michela , Caruso Rosario , Di Mauro Stefania , Riegel Barbara , Barbaranelli Claudio , Ausili Davide 
Published: September 2021

Abstract

Background
The Self-care of Diabetes Inventory (SCODI) is a theory-based tool that measures self-care, a key strategy in the appropriate treatment of diabetes. However, despite the clinical differences between people with Type 1 Diabetes Mellitus (T1DM) and Type 2 Diabetes Mellitus (T2DM), the psychometric properties of the SCODI were only tested in mixed samples.

Purpose
This study aims to test the psychometric performances of the SCODI in two separate groups of adults with T1DM and T2DM.

Methods
This is a secondary analysis from two previous multicentre cross-sectional observational studies involving patients with T1DM (n = 181) and T2DM (n = 540). We tested dimensionality with confirmatory factor analysis and reliability with a multidimensional model-based coefficient for every scale of the SCODI: self-care maintenance, self-care monitoring, self-care management, and self-care self-efficacy.

Results
We found that the SCODI showed the same dimensionality, with minimal variation in factor loadings for each factor and each scale among T1DM and T2DM groups. High reliability for each scale in both groups was also found (self-care maintenance: T1DM = 0.86, T2DM = 0.83; self-care monitoring: T1DM = 0.84, T2DM = 1.00; self-care management: T1DM = 0.87, T2DM = 0.86; self-care self-efficacy: T1DM = 0.88; T2DM = 0.86).

Conclusion
The SCODI can be used for measuring self-care in people with T1DM, T2DM, or mixed groups using identical scoring procedures. Considering the well-known differences between Type 1 and Type 2 diabetes diseases and patients’ characteristics, our results support the generalizability of the self-care theory on which the instrument is based.
MUNDO: protein function prediction embedded in a multispecies world
Authors: Arsenescu Victor , Devkota Kapil , Erden Mert , Shpilker Polina , Werenski Matthew , Cowen Lenore J 
Published: September 2021

Abstract

Motivation
Leveraging cross-species information in protein function prediction can add significant power to network-based protein function prediction methods, because so much functional information is conserved across at least close scales of evolution. We introduce MUNDO, a new cross-species co-embedding method that combines a single-network embedding method with a co-embedding method to predict functional annotations in a target species, leveraging also functional annotations in a model species network.

Results
Across a wide range of parameter choices, MUNDO performs best at predicting annotations in the mouse network, when trained on mouse and human protein–protein interaction (PPI) networks, in the human network, when trained on human and mouse PPIs, and in Baker’s yeast, when trained on Fission and Baker’s yeast, as compared to competitor methods. MUNDO also outperforms all the cross-species methods when predicting in Fission yeast when trained on Fission and Baker’s yeast; however, in this single case, discarding the information from the other species and using annotations from the Fission yeast network alone usually performs best.

Availability and implementation
All code is available and can be accessed here: github.com/v0rtex20k/MUNDO.

Supplementary information
Supplementary data are available at Bioinformatics Advances online. Additional experimental results are on our github site.
Comorbidity Increases the Risk of Invasive Meningococcal Disease in Adults
Authors: Lundbo Lene Fogt , Harboe Zitta Barrella , Sandholdt Håkon , Smith-Hansen Lars , Valentiner-Branth Palle , Hoffmann Steen , Benfield Thomas 
Published: September 2021

Abstract

Background
Risk of invasive meningococcal disease (IMD) is increased in patients with complement deficiency and human immunodeficiency virus (HIV) infection. Risk associated with comorbidity is not well described.

Methods
This was a nationwide adult case-control study. Cases for the period 1977–2018 were identified by the national meningococcus reference laboratory. Matched controls were identified by registry linkage. Comorbidities diagnosed prior to IMD were based on the International Classification of Diseases, Eighth or Tenth Revision. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated by logistic regression after adjustment for sex, age, and other comorbidities.

Results
We identified 1221 cases (45% male), with a median age of 45 years (interquartile range, 22–64 years). The dominant meningococcal serogroups were B (n = 738) and C (n = 337). Increased risk of IMD was associated with solid organ transplantation (SOT) (OR 40.47 [95% CI: 4.84–337.23]), hemolytic anemia (OR 7.56 [95% CI: 2.63–21.79]), renal disease (OR 2.95 [95% CI: 1.77–4.92]), liver disease (OR 2.54 [95% CI: 1.58–4.08]), cancer (OR 2.31 [95% CI: 1.85–2.89]), diabetes (OR 1.74 [95% CI: 1.27–2.39]), neurological disease (OR 1.72 [95% CI: 1.20–2.46]), and autoimmune disease (OR 1.70 [95% CI: 1.63–2.11]). Having 1, 2, and ≥3 comorbidities was associated with increased risk of IMD (ORs 1.6–3.5). Increased risk was not associated with specific serogroups.

Conclusions
This study of adults with IMD over 4 decades showed increased risk of IMD associated with renal disease, immunological disorders, liver disease, cancer, and SOT ranging from a 2- to 40-fold increased risk. Vaccination may be warranted in these populations.
Association of Poor Sleep Burden in Middle Age and Older Adults With Risk for Delirium During Hospitalization
Authors: Ulsa Ma Cherrysse , Zheng Xi , Li Peng , Gaba Arlen , Wong Patricia M , Saxena Richa , Scheer Frank A J L , Rutter Martin , Akeju Oluwaseun , Hu Kun , Gao Lei 
Published: September 2021

Abstract

Background
Delirium is a distressing neurocognitive disorder recently linked to sleep disturbances. However, the longitudinal relationship between sleep and delirium remains unclear. This study assessed the associations of poor sleep burden, and its trajectory, with delirium risk during hospitalization.

Methods
About 321 818 participants from the UK Biobank (mean age 58 ± 8 years [SD]; range 37–74 years) reported (2006–2010) sleep traits (sleep duration, excessive daytime sleepiness, insomnia-type complaints, napping, and chronotype—a closely related circadian measure for sleep timing), aggregated into a sleep burden score (0–9). New-onset delirium (n = 4 775) was obtained from hospitalization records during a 12-year median follow-up. About 42 291 (mean age 64 ± 8 years; range 44–83 years) had repeat sleep assessment on average 8 years after their first.

Results
In the baseline cohort, Cox proportional hazards models showed that moderate (aggregate scores = 4–5) and severe (scores = 6–9) poor sleep burden groups were 18% (hazard ratio = 1.18 [95% confidence interval: 1.08–1.28], p &lt; .001) and 57% (1.57 [1.38–1.80], p &lt; .001), more likely to develop delirium, respectively. The latter risk magnitude is equivalent to 2 additional cardiovascular risks. These findings appeared robust when restricted to postoperative delirium and after exclusion of underlying dementia. Higher sleep burden was also associated with delirium in the follow-up cohort. Worsening sleep burden (score increase ≥2 vs no change) further increased the risk for delirium (1.79 [1.23–2.62], p = .002) independent of their baseline sleep score and time lag. The risk was highest in those younger than 65 years at baseline (p for interaction &lt;.001).

Conclusion
Poor sleep burden and worsening trajectory were associated with increased risk for delirium; promotion of sleep health may be important for those at higher risk.
Analyzing Birth Cohorts With the National Social Life, Health, and Aging Project
Authors: Waite Linda J , Hawkley Louise , Kotwal Ashwin A , O’Muircheartaigh Colm , Schumm L Philip , Wroblewski Kristen 
Published: September 2021

Abstract

Objectives
In this article, we seek to provide assistance to those who might want to use data from the National Social Life, Health, and Aging Project (NSHAP) Rounds 1–3 to compare those born in different cohorts. We outline 2 theoretical models that underlie the design of NSHAP—the life course model and the birth cohorts model—and review examples of social and political changes that may have differentially affected cohorts of older adults. Then we present 2 ways that NSHAP data might be used to compare cohorts, show examples of analyses of cohort differences in measures in NSHAP, and discuss features of the data that might affect their use for this purpose.

Methods
Round 3 of the NSHAP added a group of respondents born between 1948 and 1965, the Baby Boom. Together with data from an earlier cohort, interviewed in Rounds 1–3, these data allow analysis of birth cohorts of older adults in the United States. We show examples of some approaches.

Results
Our age-matched cohort differences approach included all observations where the respondent was aged 57–67 at the time of interview in different time periods (3,816 observations overall; 2,316 for the Silent Generation cohort and 1,500 for the Baby Boom cohort). Our second approach, age, period, and cohort effects, models the effects of age and birth year using restricted cubic splines, with one model excluding the linear effect of birth year, and the other excluding the linear effect of period. We present examples of analyses using each of these methods.

Discussion
We describe features of the NSHAP data of which researchers should be aware when conducting cohort analyses with these data.
Assessing Phlebotomy Device Preference and Specimen Quality in an Oncology Outpatient Clinic
Authors: Merrill VeRonika D , Ward Matthew D , Diaz-McNair Jovita , Pickett Elizabeth A , Duh Show-Hong , Christenson Robert H 
Published: September 2021

Abstract

Background
Oncology patients have frequent venipunctures, which causes scarring, making subsequent draws difficult and painful. Novel blood collection systems may decrease discomfort in patients experiencing repeat blood draws.

Methods
Oncology outpatients (n = 101; criteria excluded 12) were recruited to determine their preference for either of two blood collection systems, the 23-gauge standard BD Vacutainer Push Button Blood Collection Set (Standard Push Button system) or the 25-gauge BD Vacutainer UltraTouch Push Button Blood Collection Set (UltraTouch Push Button system). Subjects received two blinded, randomized blood draws, one with each device and just one device for each arm. Subjects subsequently rated their blinded preference for blood collection system. Specimen quality was assessed for each device with measurements for plasma hemoglobin (Shimadzu UV-1800 spectrophotometer, Shimadzu), lactate dehydrogenase, and potassium (Vitros 4600/5600 analyzer, Ortho Diagnostics).

Results
Preference for the 25-gauge UltraTouch Push Button system over the 23-gauge Standard Push Button system was significant (UltraTouch, n = 51; Standard n = 30; no preference, n = 8; P = 0.0196). Regarding sample quality, the 25-gauge UltraTouch Push Button system had significantly lower plasma hemoglobin (average 5.34 mg/dL) vs the 23-gauge Standard Push Button system (9.37 mg/dL; P &lt; 0.0001); serum lactate dehydrogenase and potassium differences were not statistically significant.

Conclusion
Subjects in an oncology clinic preferred phlebotomy with the 25-gauge UltraTouch Push Button system, and samples using this device had less hemolysis as assessed by plasma hemoglobin.