Deviation Of Pressure Research Articles

Decision support system for power cable insulation vulcanization production line management

The paper proposes a structural model of a decision support system for controlling a cable insulation continuous vulcanization line. The proposed decision support system is based on a mathematical model of the cable insulation continuous vulcanization technological process, a database, and a mode correction algorithm. The DSS will make it possible to quickly develop a new regime in case of using new materials or structures, as well as to correct the current regime in case of unplanned changes during the production process. The core of the DSS is the proposed mathematical model, which is based on conservation laws and is presented as a system of differential equations closed by boundary conditions. The vulcanization process is described taking into account the temperature-time dependence of the kinetic parameters, which made it possible to take into account the uneven heating of the cable, both in the radial direction and along the length. The numerical implementation of the differential mathematical model made it possible to carry out a systematic analysis of the nature of the processes in the vulcanization pipe and to evaluate the influence of various technological, structural and material parameters on the cable insulation vulcanization completion degree. As a result of the analysis, significant parameters were identified that significantly affect the vulcanization process completion degree. Based on the obtained numerical results, technological parameters dependence technological surfaces on the geometry of the product and the properties of the materials used were constructed, a regression mathematical model was proposed that allows determining the values of the process control parameters without resorting to the use of a differential mathematical model. Based on the results of the analysis, an algorithm for correcting the technological regime is proposed, taking into account only significant process parameters. The proposed algorithm allows you to adjust the value of the isolation rate, depending on external influences and deviations from the specified parameters. The results of the study can be used in the production of cable and wire products with vulcanizable insulation, when it is necessary to quickly select the optimal technological mode, take into account changes in the cable design, properties of the insulation material, as well as possible pressure deviations inside the vulcanization pipe.

Numerical simulation of non-isothermal supercritical water flow in ground pipeline and wellbore: An interactive sensitivity analysis and injection parameters optimization

Supercritical water injection is promising in enhanced heavy oil recovery, in which precise prediction and regulation of bottomhole parameters are the prerequisite for improving the recovery efficiency. However, dramatically changing thermophysical properties make it difficult to calculate the hydraulic and thermal resistances of supercritical water flow in ground pipeline and wellbore. In this work, a comprehensive mathematical model was established to simulate the non-isothermal flow of supercritical water from boiler outlet to bottomhole. Modified correlations of friction coefficients and convective heat transfer coefficients respectively developed for vertical and horizontal flow of supercritical water were coupled in momentum and energy conservation equations to calculate the hydraulic and thermal resistance. The model was validated by oilfield and laboratory data with the relative deviations of pressure and temperature less than 2%. The interactive sensitivity analysis was carried out by response surface method for injection parameters optimization. The results indicated that the heat loss in ground pipeline was comparable to that in wellbore once it reached 10 times longer than wellbore and should be taken into consideration. Increasing mass flux was found to be efficient for reducing the heat loss resulted from the decline of wellbore insulation. But there existed a matching combination of injection pressure and mass flux that making bottomhole temperature the highest. For a typical injection case with a poor insulation wellbore and limited injection temperature, a combination of high mass flux and low injection pressure was recommended for achieving targeted bottomhole temperature due to its high thermal efficiency.

Predictive ability of visit-to-visit blood pressure indices for adverse events in patients with non-valvular atrial fibrillation: Subanalysis of the J-RHYTHM Registry

We previously reported that standard deviation (SD) of systolic blood pressure (SBP), an index of BP variability, and SBP-time in target range (TTR), an index of BP consistency, were significantly associated with adverse events in patients with non-valvular atrial fibrillation (NVAF). Thus, this study aimed to compare predictive ability for adverse events among visit-to-visit BP variability/consistency indices using data from the J-RHYTHM Registry.Of 7406 outpatients with NVAF, 7226 (age, 69.7 ± 9.9 years; men, 70.7%), in whom BP was measured 4 times or more (14.6 ± 5.0 times) during the 2-year follow-up period or until occurrence of an event, were included. As BP consistency for target SBP between 110 and 130 mmHg, SBP-TTR by the Rosendaal method and SBP-frequency in range (FIR) were calculated. Predictive ability was expressed by the area under receiver-operating-characteristic curve (AUC). AUCs of SBP-TTR and SBP-FIR for adverse events were compared with those of SBP-SD by the DeLong's test.SBP-SD, SBP-TTR, and SBP-FIR were 11.0 ± 4.2 mmHg, 49.5 ± 28.3%, and 52.3 ± 23.0%, respectively. AUCs of these indices for thromboembolism, major hemorrhage, and all-cause death were 0.62, 0.64, and 0.63 for SBP-SD; 0.56, 0.55, and 0.56 for SBP-TTR; and 0.55, 0.56, and 0.58 for SBP-FIR; respectively. AUCs of SBP-SD were significantly larger than those of SBP-TTR for major hemorrhage (P = 0.010) and all-cause death (P = 0.014), and SBP-FIR for major hemorrhage (P = 0.016).Among visit-to-visit BP variability/consistency indices, predictive ability of SBP-SD for major hemorrhage and all-cause death was superior to that of SBP-TTR and SBP-FIR in patients with NVAF.

EFFECT OF COVID-19 ON BLOOD PRESSURE VARIABILITY IN HYPERTENSIVE PATIENTS

Objective: To investigate the influence of COVID-19 on blood pressure variability in hypertensive patients with known subclinical organ damage (SCOD) previously assessed by evaluation of brachial artery Flow Mediated Dilatation (FMD), carotid artery Intima Media Thickness (IMT), left ventricular mass indexed to BSA (LVMI), E/e` ratio, left atrial volume indexed to BSA (LAVI). Design and method: We assessed 108 hypertensive patients who had SARS-CoV-2 infection in the previously 3 months before evaluation. All subjects included where evaluated for the presence of SCOD in the last 12 months before COVID-19 and underwent a 24-hour noninvasive ABPM on a working day, performing usual daily activities and avoiding heavy physical exercise. BP and heart rate readings were obtained every 15 minutes during daytime and every 30 minutes during nighttime. Subjects recorded a journal of the activities performed and the time of retiring to bed, ABPM recordings being divided into ‘awake’ or ‘asleep’ periods based on diary entries and not on predefined time intervals. BP variability was calculated as the standard deviation (SD) of mean blood pressure. Results: The hypertensive patients with previously known subclinical disease (SCOD+) compared with those without it (SCOD–) had significantly higher systolic and diastolic BP after SARS-CoV-2 infection, and significantly increased variability of both systolic and diastolic BP. Also, they had a significantly reduced decrease of nocturnal systolic BP (table 1). The analysis for each marker of subclinical organ damage indicated that increased systolic BP variability in hypertensive COVID-19 patients was significantly correlated with carotid IMT (r = 0.517, p = 0.001), brachial artery FMD (r = 0.426, p = 0.008), LVMI (r = 0.397, p = 0.009), E/e` ratio (r = 0.543, p = 0.001), left atrial volume indexed to BSA (LAVI) (r = 0.478, p = 0.003) and that diastolic BP variability is significantly correlated with carotid IMT (r = 0.362, p = 0.09), brachial artery FMD (r = 0.491, p = 0.006), LVMI (r = 0.369, p = 0.008), E/e` ratio (r = 0.422, p = 0.005), left atrial volume indexed to BSA (LAVI) (r = 0.407, p = 0.002). Conclusions: Our study indicates that SARS-CoV-2 infection in hypertensive patients induces an increased blood pressure variability which is significantly correlated with the presence of previously diagnosed subclinical disease.

Potential variables forcing litterfall in a lower montane evergreen forest using Granger and superposed epoch analyses

AbstractThe interplay between long‐term environmental variability and litterfall is complex and through this study, we quantified the response of peak leaf, flower, and fruit litterfall production to such variability in a lower montane evergreen forest located in Doi Suthep‐Pui National Park, Thailand. We observed seasonality in litterfall accumulation with peak leaf and flower litterfalls occurring mostly during the cool and hot dry seasons, while fruit litterfall occurs mostly during the wet season. Probable associations with environmental drivers (barometric pressure, temperature, relative humidity, number of sunlight hours, evaporation, wind speed, and vapor pressure deficit) were tested on a 5‐year litter trap dataset using superposed epoch analysis and Granger causality tests. The tests indicated that significant deviations in barometric pressure, maximum temperature, maximum relative humidity, and wind speed were the most plausible precursors to peak litter production of all components. Additionally, we observed a lag in peak litterfall production relative to climate variability by up to 4 months for most of the climate variables. Changing environmental conditions can affect both the timing and amount of litterfall production, which in turn can alter the nutrient recycling rate and other essential ecosystem services of such forests.

Analysis of Association of Brain Natriuretic Peptide Levels and Blood Pressure Variability

Objective: The present study aimed to investigate the relationship between brain natriuretic peptide (BNP) levels and blood pressure variability among hypertensive patients aged over 40 years.
 Methods: The study recruited 120 patients from a cardiology outpatient clinic who had been diagnosed with hypertension and taking antihypertensive medication for at least 6 months. Demographic and clinical information, blood pressure measurements, and blood samples were collected to measure BNP levels. The standard deviation of the mean arterial pressure over 24 hours was calculated as a measure of blood pressure variability. Linear regression was used to examine the association between BNP levels and blood pressure variability while controlling for age, sex, BMI, and medication history.
 Results: The study found a significant positive association between BNP levels and blood pressure variability (β=0.31, p=0.002), even after controlling for other variables. The linear regression model explained 20% of the variance in blood pressure variability (R2=0.20, F=9.52, p<0.001).
 Conclusion: The findings suggest that higher BNP levels are associated with increased blood pressure variability among hypertensive patients. Further studies are needed to explore the underlying mechanisms and the potential implications of this association.

Thermodynamic modeling for ternary clathrate hydrates of carbon dioxide, nitrogen and tetrahydrofuran

Hydrate-based CO2 separation technology is one of research hotspots in the field of Carbon Capture, Utilization, and Storage. However, thermodynamics, such as phase temperature and pressure, are very important for CO2 separation. In this study, a thermodynamic model was developed for calculating the temperature, pressure, separation efficiency and separation factor of the CO2-N2-THF/H2O system at the three-phase equilibrium of vapor–liquid-hydrates (V-L-H). The Chen-guo model was applied for the hydrate phase and the Patel-Teja equation of state (EOS) was used for the vapor phase. The Wilson activity coefficient model was employed for the liquid phase and the solubility of CO2 in solution was calculated using Henry's law. The average absolute deviation of the equilibrium pressure and temperature compared to the experimental data are 10.441% and 0.343%, respectively, which showed that the predicted three-phase equilibrium pressure and temperature were in good agreement with the experimental results. The three-phase equilibrium temperature and pressure of CO2 and N2 gas mixture in pure water and in THF aqueous solutions were compared. The results showed that THF had a promotion effect in reducing temperature and pressure of CO2 hydrate formation.

ASU model with multiple adjustment types for oxygen scheduling concerning pipe pressure safety in steel enterprises

Steel production requires enough oxygen, which is produced by cryogenic air separation (ASU) with a large load, high power, and slow adjustment. Facing complex oxygen demands, effective ASU scheduling can reduce energy waste and has great potential for low-carbon development. Current ASU scheduling models have only a sole load-adjustment type. To address the limitation, a novel scheduling framework model is researched for ASUs with various load-adjustment types, and is applied to an oxygen system scheduling mode1 for steel enterprises. In addition, current multi-period oxygen scheduling models have an issue that time discretization leads to oxygen pipe pressure deviation between model calculation and practical operation and impacts on system safety. Therefore, a novel method to compensate for pressure boundaries is studied to precisely handle the deviation. Some contrast tests concerning various load-adjustment types of ASU are conducted with simulative and real data. The simulative tests indicate that the framework can both unify multiple adjustment types (MAT) and flexibly migrate among various ASUs. In the real scenario, the oxygen scheduling model with the MAT-ASU avoids oxygen emission and reduces comprehensive cost (including electricity consumption and oxygen release loss) of the manual scheduling by 24%. The MAT enhances the response ability to complicated demands, thereby performing better to optimize the comprehensive cost. Though smaller pipe volume or larger discrete period size increases the pressure deviation, the compensation method perfectly ensures safe system operation.

Agreement Between Tongue-Based Oscillometric and Invasive Blood Pressure in Anesthetized Dogs of Various Weights.

This study aimed to evaluate the agreement between oscillometric blood pressure (OBP) measured from the tongue and invasive blood pressure (IBP) measured from the dorsal pedal artery in anesthetized dogs of various body weights. Forty-five client-owned dogs undergoing general anesthesia for surgery or imaging scan were included; weights ranged from 2.5 to 42.6 kg. Agreement between paired IBP and OBP during normotension was verified with reference standards used in small animals and humans. The data were stratified by body weight (≤5 kg versus >5 kg). In the >5 kg group (n = 29), the bias ± standard deviation for mean (2.1 ± 7.9 mm Hg) and diastolic pressure (-2.7 ± 7.9 mm Hg) exhibited reliability that met human standards (<5 ± 8 mm Hg). However, in the ≤5 kg group (n = 16), the bias ± standard deviation met only veterinary standards (≤10 ± 15 mm Hg) for mean (3.1 ± 10.2 mm Hg) and diastolic pressure (-2.5 ± 12.6 mm Hg). Agreement for systolic pressure did not meet either standard for both groups. This study demonstrates that tongue-based OBP is a close estimate of mean/diastolic blood pressure in anesthetized dogs (>5 kg) during normotension by small-animal and human criteria.

Cross-calibration of atomic pressure sensors and deviation from quantum diffractive collision universality for light particles

The room-temperature, velocity-averaged, total cross section for atom–atom and atom–molecule collisions can be approximated using a universal function depending only on the magnitude of the leading order dispersion coefficient, C 6. This feature of the total cross section together with the universal function for the energy distribution transferred by glancing angle collisions ( (Booth et al 2019 New J. Phys. 21 102001)) can be used to empirically determine the total collision cross section and realize a self-calibrating, vacuum pressure standard. This was previously validated for Rb+N2 and Rb+Rb collisions. However, the post-collision energy distribution is expected to deviate from in the limit of small C 6 and small reduced mass. Here we observe this deviation experimentally by performing a direct cross-species loss rate comparison for Rb+H2 and Li+H2 collisions. We measure a velocity averaged total collision cross section ratio of . Based on an ab initio computation of m3 s−1, we deduce m3 s−1, in agreement with a Rb+H2 ab initio value of . By contrast, fitting the Rb+H2 loss rate as a function of trap depth to the universal function we find m3 s−1. This work demonstrates the utility of sensor-atom cross-calibration experiments to check the validity of theoretical computations to extend and enhance the performance of cold atom based pressure sensors.

Correlation between coefficient of variation of blood pressure and cognitive dysfunction in patients with hypertension complicated by cerebral small vessel disease

ABSTRACT To investigate the correlation between the coefficient of variation of blood pressure and cognitive dysfunction in patients with hypertension complicated by cerebral small vessel disease. 415 patients with hypertension complicated by cerebral small vessel disease who received treatment in our hospital from January 2019 to June 2022 were retrospectively included in this study. These patients were divided into a cognitive dysfunction group (n = 74) and a non-cognitive dysfunction group (n = 341) according to whether they had cognitive dysfunction. Blood pressure and general data were recorded for each patient. The logistic regression coefficient was used to analyze the correlation between coefficient of variation of blood pressure and cognitive dysfunction in patients with hypertension complicated by cerebral small vessel disease. Multivariate logistic regression analysis showed that age, the weighted standard deviation of 24-hour systolic blood pressure (24hSBP-wSD), cholesterol level, and triglyceride level were risk factors for cognitive dysfunction in patients with hypertension complicated by cerebral small vessel disease (P < 0.05). The risk for cognitive dysfunction was increased by 3.532-fold in patients aged>65 years, increased by 1.203-fold in patients with a 24hSBP-wSD of 14.9–15.9%, and increased by 3.033-fold in patients with a 24hSBP-wSD>16.0% (P < 0.05). The coefficient of variation of blood pressure is markedly correlated with the risk for cognitive dysfunction; and a higher coefficient of variation of blood pressure leads to a higher risk for cognitive dysfunction in patients with hypertension complicated by cerebral small vessel disease.

Laser Welding of Fiber and Quartz Glass Ferrule.

Optical fiber sensors fabricated by bonding have several limitations. To address these limitations, a CO2 laser welding process for an optical fiber and quartz glass ferrule is proposed in this study. A deep penetration welding method with optimal penetration (penetrating the base material only) is presented to weld a workpiece according to the requirements of the optical fiber light transmission, size characteristics of the optical fiber, and the keyhole effect of the deep penetration laser welding. Moreover, the influence of laser action time on the keyhole penetration is studied. Finally, laser welding is performed with a frequency of 24 kHz, power of 60 W, and duty cycle of 80% for 0.9 s. Subsequently, the optical fiber is subjected to out-of-focus annealing (0.83 mm, 20% duty cycle). The results show that deep penetration welding produces a perfect welding spot and has good quality; the hole generated from deep penetration welding has a smooth surface; the fiber can bear a maximum tensile force of 1.766 N. The performance of the optical fiber sensor is stable, and the maximum pressure deviation corresponding to the cavity length fluctuation is about 7.2 Pa. Additionally, the linear correlation coefficient R of the sensor is 0.99998.

Twenty-four-hour ambulatory blood pressure variability and association with ischemic stroke subtypes in the subacute stage.

Blood pressure (BP) variability (BPV) increases the risk of cerebral disease in both hemorrhagic and ischemic strokes. However, whether BPV is associated with different types of ischemic stroke remains unclear. In this study, we explored the relationship between BPV and ischemic stroke subtypes. We enrolled consecutive patients aged 47-95 years with ischemic stroke in the subacute stage. We categorized them into four groups based on their artery atherosclerosis severity, brain magnetic resonance imaging markers, and disease history: large-artery atherosclerosis, branch atheromatous disease, small-vessel disease, and cardioembolic stroke. Twenty-four-hour ambulatory blood pressure monitoring was performed, and the mean systolic blood pressure/diastolic blood pressure, standard deviation, and coefficient of variation were calculated. A multiple logistic regression model and random forest were used to test the relationship between BP and BPV in the different types of ischemic stroke. A total of 286 patients, including 150 men (73.0 ± 12.3 years) and 136 women (77.8 ± 9.6 years) were included in the study. Of these, 86 (30.1%) patients had large-artery atherosclerosis, 76 (26.6%) had branch atheromatous disease, 82 (28.7%) had small-vessel disease, and 42 (14.7%) had cardioembolic stroke. There were statistically significant differences in BPV between subtypes of ischemic stroke in 24-h ambulatory blood pressure monitoring. The random forest model showed that BP and BPV were important features associated with ischemic stroke. Multinomial logistic regression analysis demonstrated that systolic blood pressure levels; systolic blood pressure variability at 24 h, daytime and nighttime; and nighttime diastolic blood pressure were independent risk factors for large-artery atherosclerosis after adjustment for confounders. When compared to branch atheromatous disease and small-vessel disease, nighttime diastolic blood pressure and standard deviation of diastolic blood pressure were significantly associated with patients in the cardioembolic stroke group. However, a similar statistical difference was not seen in patients with large-artery atherosclerosis. The results of this study indicate a discrepancy in blood pressure variability among different ischemic stroke subtypes during the subacute stage. Higher systolic blood pressure and systolic blood pressure variability during the 24 h, daytime, and nighttime, and nighttime diastolic blood pressure were independent predictors for large-artery atherosclerosis stroke. Increased nighttime diastolic BPV was an independent risk factor for cardioembolic stroke.

THE CIRCADIAN PATTERN OF 24-HOUR AMBULATORY BLOOD PRESSURE AND HEART RATE IN THE CEREBRAL INFRACTION PATIENTS WITH HYPERTENSION AND HYPERTENSIVES PATIENTS

Aims: Evaluation of the circadian rhythm of 24-hour ambulatory blood pressure and pulse rate in the cerebral infraction patients with hypertension and hypertensives patients with purpose prognostic, prevention and treatment in two group.&#x0D; Objects and methods: This study included 140 cerebral infarction patients with hypertension, hospitalized for the first 7 days (mean age 65.5±10.4 years) and 143 primary hypertensive patients (mean age of 64.4±7.5 years). All had 24-h ambulatory recording, with measurement 30 every minutes in the daytime (6.00 am - 10.00 pm) and every 60 minutes at night (10.00 pm - 6.00 am). Results: Blood pressure in patients with cerebral infarction oscillated significantly more than in hypertensive patients; mean standard deviation of systolic blood pressure (25.8 mmHg) and diastolic blood pressure (15.8 mmHg) in patients with cerebral infarction respectively was significantly higher than those with hypertension (20 mmHg and 12.1 mmHg) with p &lt;0.01. The rate of non-dipping blood pressure at night, the overload of systolic and diastolic blood pressure, morning surge blood pressure in patients with cerebral infarction was significantly higher than that of hypertensive patients (92.1; 75.5; 60.2; 57.8 versus 64.3; 60.1; 49.1; 36.3 respectively; p &lt;0.01). Conclusion: It is necessary to monitor 24-hours ambulatory blood pressure in hypertensive patients and patients with cerebral infarction in the first week of admission to identify some phenomena such as nocturnal non-dipping blood pressure, the overload of blood pressure, especially morning surge blood pressure early to plan for prevention of target organ damage, particularly cerebral stroke in hypertensive patients.

Center of Pressure Deviation during Posture Transition in Athletes with Chronic Ankle Instability.

Center of pressure (COP) tracking during posture transition is an ideal scale for determining the recurrence of an ankle injury, thereby preventing chronic ankle instability (CAI). However, the same is difficult to determine because the reduced ability of certain patients (who experienced sprain) to control posture at the ankle joint is masked by the chain of hip and ankle joint motion. Thus, we observed the effects of knee joint immobilization/non-immobilization on postural control strategies during the posture transition task and attempted to evaluate the detailed pathophysiology of CAI. Ten athletes with unilateral CAI were selected. To examine differences in COP trajectories in the CAI side and non-CAI legs, patients stood on both legs for 10 s and one leg for 20 s with/without knee braces. COP acceleration during the transition was significantly higher in the CAI group with a knee brace. The COP transition from the double- to single-leg stance phase was significantly longer in the CAI foot. In the CAI group, the fixation of the knee joint increased COP acceleration during postural deviation. This suggests that there is likely an ankle joint dysfunction in the CAI group that is masked by the hip strategy.

Steady-state interconnected cycle modeling and experimental results of a lab-scale ORC

ORC is one of the mature technologies for power generation from low temperature heat sources. In this study, the aim is to develop an accurate ORC model which is validated using reliable steady-state data. For this purpose, tests are carried out at four different heat source temperatures ranging from 80 to 110 °C to obtain data in a repeatable manner. The proposed model considers pressure drop and heat transfer correlations to improve the accuracy of model predictions. Using the refrigerant pump mass flow rate, thermal oil pump volumetric flow rate, cooling water inlet temperature, cooling water volumetric flow rate, the throttle valve outlet set pressure, and refrigerant pump outlet pressure as input, the model predicts the pressure, temperature, and mass flow rate in the cycle. The results show that the steady-state ORC model is significantly accurate, with ±1% deviations in pressure and ±1 °C in temperature, and ±5% in mass flow rate, heat transfer rate and refrigerant pump power predictions. The novel iterative model presented in this study includes pipe losses and significantly improves the simulation accuracy of ORCs with long pipes.

Effect of inclination angle on the thermal-hydraulic characteristics and entropy generation of Al2O3–water nanofluid for in-tube turbulent flow

PurposeInclination angle has been reported to have an enhancing effect on the thermal-hydraulic characteristics and entropy of some thermal systems. Therefore, this paper aims to numerically investigate the effects of inclination angle, volume concentration and Reynolds number on the thermal and hydraulic characteristics and entropy generation rates of water-based Al2O3 nanofluids through a smooth circular aluminum pipe in a turbulent flow.Design/methodology/approachA constant heat flux of 2,000 Watts is applied to the circular surface of the tube. Reynolds number is varied between 4,000 and 20,000 for different volume concentrations of alumina nanoparticles of 0.5%, 1.0% and 2.0% for tube inclination angles of ±90o, ±60o, ±45o, ±30o and 0o, respectively. The simulation is performed in an ANSYS Fluent environment using the realizable kinetic energy–epsilon turbulent model.FindingsResults show that +45o tube orientation possesses the largest thermal deviations of 0.006% for 0.5% and 1.0% vol. concentrations for Reynolds numbers 4,000 and 12,000. −45o gives a maximum pressure deviation of −0.06% for the same condition. The heat transfer coefficient and pressure drop give maximum deviations of −0.35% and −0.39%, respectively, for 2.0% vol. concentration for Reynolds number of 20,000 and angle ±90o. A 95%–99.8% and 95%–98% increase in the heat transfer and total entropy generation rates, respectively, is observed for 2.0% volume concentration as tube orientation changes from the horizontal position upward or downward.Originality/valueResearch investigating the effect of inclination angle on thermal-hydraulic performance and entropy generation rates in-tube turbulent flow of nanofluid is very scarce in the literature.

The effect of the global supply chain and oil prices on the inflation rates in advanced economies and emerging markets

This study investigates the effect of global supply chain pressures and crude oil prices on the consumer price index from October 1997 to February 2022 using panel linear and nonlinear autoregressive distributed lags (ARDLs, NARDLs). The results showed that the asymmetric effect of the global supply chain on the inflation rate is stronger when the supply chain increases than when it decreases in the long run for advanced economies and vice versa in emerging markets. A one standard deviation of the supply chain pressures has rebounded the inflation rate by about 1.7% and 0.71% for advanced economies and emerging markets, respectively. The findings establish that a 10 U.S. dollar increase in oil prices leads the inflation rate to rise by 0.1%–0.6% for all countries in the short run. However, the impact of the global supply chain index fits much better with the inflation rate than the oil prices in the short and long run, including the subprime crisis, such as the COVID‐19 outbreak, and the beginning of the Russo–Ukrainian conflict. Thus, the empirical results of the current study provide acumens for policymakers of advanced economies and emerging markets to consume green energy and make use of green technology and environmental innovations for counterbalancing the inflation issues induced by the higher rates of oil prices without halting the economic growth and sustainable development.

Oxygen potential of neodymium-doped U0.817Pu0.180Am0.003O2±x uranium–plutonium–americium mixed oxides at 1573, 1773, and 1873K

Oxygen potentials of U0.817Pu0.180Am0.003O2±x incorporating 10 and 20 mol% of neodymium (Nd/Metal) were investigated by thermogravimetry at 1573, 1773, and 1873 K. The presence of neodymium induced an increase in the oxygen potential of the U–Pu mixed oxide. The correlation between oxygen partial pressure pO2 and deviation from stoichiometry x was analyzed, and a model of defect chemistry was proposed. Finally, the crystal structure of these mixed oxides was discussed at the light of the mechanisms of possible Nd(III)/U(V) charge compensation, and deviation from stoichiometry.

Scale transition: Pore network study of how pore structure affects the macroscopic parameters of the continuum model for drying

The scale transition from discrete pore network model (PNM) simulations to one-equation continuum model (CM) of drying has been investigated in previous studies for uniformly structured porous media. This investigation is extended in the present work to porous media with widely different pore size distributions, as well as to those with spatially correlated networks of small and large pores. The key questions examined here are how and to what extent pore-structural features can be reflected in the local macroscopic parameters of the one-equation CM derived by traditional homogenization. For this purpose, three-dimensional model capillary structures with monomodal and bimodal pore size distributions are generated and drying simulations are conducted at the limit of viscous-capillary dominated regime. By leveraging volume-averaged data obtained from PNM simulations the one-equation CM is parameterized and thus its local parameters are expressed in dependence on the pore structure. The simulation results show that for the monomodal and bimodal pore structures the profiles of the moisture transport coefficients are complex and non-unique over the entire drying process. Moreover, the deviation of the water vapor partial pressure from the saturation vapor pressure in the presence of liquid water – which is referred to as non-local equilibrium effect – is less pronounced for the bimodal pore structure compared to the monomodal pore structures. Finally, comparisons are performed between the volume-averaged data obtained at different stages of drying by the discrete simulations with monomodal and bimodal pore structures and results of the continuum model of drying.