Analysis Of Parameters Research Articles

Optimizing recombinant antibody fragment production: A comparison of artificial intelligence and statistical modeling.

Maximizing the recombinant protein yield necessitates optimizing the production medium. This can be done using a variety of methods, including the conventional "one-factor-at-a-time" approach and more recent statistical and mathematical methods such as artificial neural network (ANN), genetic algorithm, etc. Every approach has advantages and disadvantages of its own, yet even when a technique has flaws, it is nevertheless used to get the best results. Here, one categorical variable and four numerical parameters, including post-induction time, inducer concentration, post-induction temperature, and pre-induction cell density, were optimized using the 232 experimental assays of the central composite design. The direct and indirect effects of factors on the yield of anti-epithelial cell adhesion molecule extracellular domain fragment antibody were examined using statistical methods. The analysis of variance results indicate that the response surface methodology (RSM) model is effective in predicting the amount of produced single-chain fragment variable (p-value = 0.0001 and R2 = 0.905). For ANN modeling, the evaluation using normalized root mean square error (NRMSE) and R2 values shows a good fit (R2 = 0.942) and accurate predictions (NRMSE = 0.145). The analysis of error parameters and R2 of a dataset, which contained 30 data points randomly selected from the complete dataset, showed that the ANN model had a higher R2 value (0.968) compared to the RSM model (0.932). Furthermore, the ANN model demonstrated stronger predictive ability with a lower NRMSE (0.048vs. 0.064). Induction at the cell density of 0.7 and an isopropyl β-D-1-thiogalactopyranoside concentration of 0.6mM for 32 h at 30°C in BW25113 was the ideal culture condition leading to the protein yield of 259.51mg/L. Under the optimum conditions, the output values predicted by the ANN model (259.83mg/L) were more in line with the experimental data (259.51mg/L) than the RSM (276.13mg/L) expected value. This outcome demonstrated that the ANN model outperforms the RSM in terms of prediction accuracy.

Optimization and 4E analysis of integration of waste heat recovery and exhaust gas recirculation for a marine diesel engine to reduce NOx emissions and improve efficiency

This paper proposes an integration of waste heat recovery system and exhaust gas recirculation system to break the inherent trade-offs between NOx and carbon emissions of marine low-speed diesel engine. It is significant important to break these trade-offs, because Energy Efficiency Existing Ship Index may not be met, though Energy Efficiency Design Index and Tier III can be already achieved for old ships. The waste heat recovery system consists of supercritical carbon dioxide Brayton cycle and Kalina cycle, where the integration of supercritical carbon dioxide Brayton cycle and Kalina cycle is achieved in the parallel style. This paper uses the classical thermodynamics in terms of engineering approach to carry out the parameter analysis of combined system first. The optimization is conducted in terms of efficiency, energy density and techno-economy with the introduction of global optimal policy. The results showed that the highest efficiency of 52.32% at Tier III mode can be achieved, at which the net power, exergy efficiency, area per unit power output and levelized energy cost can be achieved by 1568.57 kW, 45.75%, 0.589 m2/kW and 0.114$/kWh at main engine load of 85%. Further, the net power output of waste heat recovery system can reach 1085.76 kW and 2043 kW at Tier II mode and Tier III mode, while the recovering rate of waste heat recovery system can reach over 5% at Tier III mode. Finally, the Energy Efficiency Existing Ship Index of a container ship equipping with such combined system can be reduced from 9.50 to 9.05.

Investigations of In2O3 Added SiC Semiconductive Thin Films and Manufacture of a Heterojunction Diode

This study involved direct doping of In2O3 into silicon carbide (SiC) powder, resulting in 8.0 at% In-doped SiC powder. Subsequently, heating at 500 °C was performed to form a target, followed by the utilization of electron beam (e-beam) technology to deposit the In-doped SiC thin films with the thickness of approximately 189.8 nm. The first breakthrough of this research was the successful deposition of using e-beam technology. The second breakthrough involved utilizing various tools to analyze the physical and electrical properties of In-doped SiC thin films. Hall effect measurement was used to measure the resistivity, mobility, and carrier concentration and confirm its n-type semiconductor nature. The uniform dispersion of In ions in SiC was as confirmed by electron microscopy energy-dispersive spectroscopy and secondary ion mass spectrometry analyses. The Tauc Plot method was employed to determine the Eg values of pure SiC and In-doped SiC thin films. Semiconductor parameter analyzer was used to measure the conductivity and the I-V characteristics of devices in In-doped SiC thin films. Furthermore, the third finding demonstrated that In2O3-doped SiC thin films exhibited remarkable current density. X-ray photoelectron spectroscopy and Gaussian-resolved spectra further confirmed a significant relationship between conductivity and oxygen vacancy concentration. Lastly, depositing these In-doped SiC thin films onto p-type silicon substrates etched with buffered oxide etchant resulted in the formation of heterojunction p-n junction. This junction exhibited the rectifying characteristics of a diode, with sample current values in the vicinity of 102 mA, breakdown voltage at approximately −5.23 V, and open-circuit voltage around 1.56 V. This underscores the potential of In-doped SiC thin films for various semiconductor devices.

Dual-function of energy harvesting and vibration isolation via quasi-zero stiffness piezoelectric mechanism

Industry 4.0 realizes intelligent interconnection through the sensor group of the Internet of Things. A key challenge is to achieve the self-powering of sensors and stable operation of precision instruments. This paper introduces a dual-functional structure (VIPEH) integrating energy harvesting (EH) and vibration isolation (VI) based on the quasi-zero stiffness (QZS) piezoelectric mechanism. The paper analyzes the nonlinear statics of piezoelectric flexible beams under large deformations and conducts parametric analysis. A nonlinear dynamic model with electromechanical coupling was developed to investigate the impact of mechanical and electrical parameters on the system's dynamic bifurcation behavior, EH, and VI performance. Finally, an experimental setup is created to evaluate the VIPEH's characteristics. Sweep frequency excitation experiments demonstrate that the initial isolation frequency of VIPEH is lower than 1.4 Hz. The important thing is that VIPEH can still power the sensor based on the isolation frequency, and the output power of a single piezoelectric material can reach 3.19 mW. This not only enables the isolation of low-frequency vibrations but also presents a highly promising application for achieving self-powering in sensor clusters within the context of Industry 4.0 and the IoTs.

Evaluating the effect of ambient air temperature on the sustainability aspect of naphtha‐based gas turbine power plant

AbstractThe exergy‐based sustainability indices have been a cause of concern for gas turbine power plant as its performance is very sensitive to air temperature. Hence, the present study evaluates the impact of atmospheric air temperature on exergy sustainability and ecological function of a naphtha‐based gas turbine power plant using EES. The outcome of the study shows that combustion chamber (CC_1) needs more attention compared with other components present, and it has least improvement potential as compared with other components. Further while carrying out parametric analysis with respect to ambient air, it was observed that for a 1.1°C increase in atmospheric air temperature a reduction in sustainability index about 0.66% was observed respectively, for GT_1. Thus, this study established that the power plant's exergy sustainability performance has a negative impact at high ambient air temperatures on exergy sustainability indices.

Identification of Konosirus punctatus (Temminic and Schlegel, 1846) stocks in Korean waters via otolith shape analysis and comparison of growth parameters

Accurate identification of fish stocks is essential for the successful management of fishery resources. In this study, the populations of dotted gizzard shad, Konosirus punctatus, which is listed on the International Union for Conservation of Nature red list of the threatened species, were identified by combining two phenotypic methods: otolith shape analysis and comparison of growth parameters. Otolith shape analysis revealed two types of otoliths, pointing to the presence of two gizzard shad stocks in two areas along the Korean coast: the East Sea and the Yellow Sea + western Korean Strait. It is also supported by the result that the two stocks are significantly different in the shape indices (SI), and asymptotic fork length (FL∞). These results may be due to the influence of several environmental factors, such as temperature, salinity, and food availability. Overall, our findings suggest that there are two phenotypic stocks of K. punctatus in the Korean coastal waters and they should be managed differently.

Combustion Characteristics, Kinetics and Thermodynamics of Peanut Shell for Its Bioenergy Valorization

To realize the utilization of peanut shell, this study investigates the combustion behavior, chemical kinetics and thermodynamic parameters of peanut shell using TGA under atmospheric air at the heating rates of 10, 20, and 30 K/min. Results indicate that increasing the heating rate leads to higher ignition, burnout, and peak temperatures, as observed in the TG/DTG curves shifting to the right. Analysis of combustion performance parameters suggest that higher heating rates can enhance combustion performances. Kinetic analysis using two model-free methods, KAS and FWO, shows that the activation energy (Eα) ranges from 93.30 to 109.65 kJ/mol for FWO and 89.72 to 103.88 kJ/mol for KAS. The data fit well with coefficient of determination values (R2) close to 1 and the mean squared error values (MSE) less than 0.006. Pre-exponential factors using FWO range from 2.19 × 106 to 8.08 × 107 s–1, and for KAS range from 9.72 × 105 to 2.25 × 107 s–1. Thermodynamic analysis indicates a low-energy barrier (≤±6 kJ/mol) between activation energy and enthalpy changes, suggesting easy reaction initiation. Furthermore, variations in enthalpy (ΔH), Gibbs free energy (ΔG), and entropy (ΔS) upon conversion (α) suggest that peanut shell combustion is endothermic and non-spontaneous, with the generation of more homogeneous or well-ordered products as combustion progresses. These findings offer a theoretical basis and data support for the further utilization of agricultural biomass.

Synoptic-scale Meteorological Patterns Associated with Heavy Rainfall in the Minnesota Region

Abstract Situated in the Upper Midwest, Minnesota’s mid-continental location places it in a climate transition zone between eastern U.S. humid conditions and western semi-arid conditions as well as between warm, moist air from the Gulf of Mexico to the south and drier, polar air to the north. Potential adverse impacts on ecosystems due to changing climate and precipitation patterns, together with ongoing flash flooding risks, indicate that heavy rainfall occurrence and distribution are important considerations for Minnesota. This research used ERA5 reanalysis data with 0.25° grid spacing during May-September 1959-2021 to investigate the synoptic-scale drivers of Minnesota heavy rainfall. The study utilized a neural-network, self-organizing map (SOM) technique to identify sea-level pressure patterns and precipitation patterns associated with heavy rainfall and used composite analysis to explore the relationships between synoptic-scale conditions and environmental parameters during heavy rain hours. Six sea level pressure patterns were identified, three of which represented advancing surface cyclones and accounted for >70% of the heavy rain hours. The spatial distribution of heavy rainfall was represented by six precipitation patterns. The greatest frequency of heavy rain hours was associated with the northwest precipitation pattern, followed by the southwest and southeast patterns. Analysis of the frequency of pressure and heavy rain precipitation pattern pairs revealed that the top five most frequent pairs were associated with advancing surface cyclones and >26% of the total heavy rain hours. Composite analysis of environmental parameters showed favorable conditions related to moisture and lift were associated with heavy rainfall.

Changes in the indicators of hemodynamics and oxygen transport in patients with idiopathic pulmonary arterial hypertension depending on their survival

Background. Idiopathic pulmonary arterial hypertension (IPAH) is a severe disease that affects the vessels of the pulmonary circulation and leads to right ventricular failure and death of patients. Indicators of hemodynamics and oxygen transport play central role in the progression and development of the disease. Objective: to evaluate indicators of hemodynamics, oxygen transport. Materials and methods. The study included 124 patients with IPAH. They were divided into two groups: alive patients (group 1) and those who died (group 2). All of them underwent general clinical examinations, a 6-minute walk test, transthoracic and speckle tracking echocardiography, right heart catheterization, blood gas analysis and calculation of hemodynamic parameters. Results. We calculated and compared the right (RVSWI) (19.93 ± 7.84 vs. 16.47 ± 4.67 g·m·m–2, p = 0.009) and left ventricular stroke work index (LVSWI) (39.47 ± 10.53 vs. 35.92 ± 11.19 g·m·m–2, p = 0.036) and their ratio (RVSWI/LVSWI) (0.59 ± 0.16 vs. 0.46 ± ± 0.13, p = 0.008), right (RVPC) (97.00 ± 2.16 vs. 1.82 ± 1.04 g·m, p = 0.001) and left ventricular pump coefficient (LVPC) (5.36 ± 4.84 vs. 4.41 ± 2.15 g·m, p = 0.04) and their ratio (RVPC/LVPC) (0.54 ± 0.19 vs. 0.44 ± 0.11, p = 0.05) in both groups of patients. Also, we found differences in partial pressure of carbon dioxide (PaCO2) of venous blood (34.5 ± 5.1 vs. 40.2 ± 6.9 mm Hg, p = 0.02), partial pressure of oxygen (PaO2) of arterial blood (90.2 ± 15.1 vs. 78.9 ± 11.2 mm Hg; p = 0.01), arteriovenous oxygen difference (A-vO2) (4.5 ± 1.2 vs. 5.0 ± 0.8 ml/dL, p = 0.02) between both groups. Conclusions. RVSWI, LVSWI, RVSWI/LVSWI, RVPC, LVPC, RVPC/LVPC were significantly different between the groups. The use of the above hemodynamic parameters can help in a deeper understanding of the prognosis in IPAH patients. Performance of oxygen transport indicators (PaCO2, PaO2) and A-vO2 in IPAH patients provides a broader understanding of the status and prognosis of this disease.

Deterioration and imperfection of the ship structural components and its effects on the structural integrity: A review

Abstract The design of ship structural safety is crucial to ensure the ship’s survivability during the operation. Extensive research has been conducted on ship structural components, including box girders, stiffened panels, and plates, beyond the ideal conditions by considering the implication of manufacturing processes, vessel usage, and aging in the form of defects like cracks, corrosion, and imperfections, both locally and globally. Previous research has also explored various methodologies, conditions, and parameters to understand the impact of damages and imperfections on ship structure and strength. However, there is a significant need to bridge the gap in prior research to advance technology and ship structural strength analysis. A comprehensive benchmark study specifically focused on improving ship structural component needs, identifying differences and gaps among existing studies as challenging. This article thoroughly reviews ship structural components, such as box girders, stiffened panels, and plates, while examining the effects of structural defects like corrosion, cracks, and imperfections on ship structural integrity. It synthesizes the influence of various defect parameters, including crack length, angle, position, corrosion severity, pit corrosion, pit diameter, and pit models, using finite element modeling and experimental investigations, particularly emphasizing ship structural components. The comparative analysis of methods and parameters presented in this review will serve as a valuable reference for future investigations and studies related to ship structural strength and design. The article’s contribution is expected to enhance the understanding of ship structural strength, contributing to the sustainability and effectiveness of vessel design in the global maritime industry.

Peri-Ultrasound Modeling to Investigate the Performance of Different Nonlinear Ultrasonic Techniques for Damage Monitoring in Plate Structures

Abstract Peri-ultrasound modeling which is based on nonlocal peridynamics is found and proven to be effective for modeling nonlinear waves propagating and interacting with damages in structures. This work presents the peri-ultrasound modeling to investigate the performance of three commonly used nonlinear ultrasonic (NLU) techniques—wave mixing, higher harmonic generation (HHG), and sideband peak count-index (or SPC-I) for monitoring damages (or cracks) in three-dimensional (3D) plate structures. Cracks can be defined as “thin cracks” and “thick cracks” according to the horizon size mentioned in peridynamics. Peri-ultrasound modeling results reveal that the SPC-I results are consistent with other reported numerical modeling and experimental results available in the literature. However, the modulation indicator (MI) from the wave mixing model only shows consistent trends for thin cracks but not for thick cracks and its reliability is affected by the initial excitation bandwidth. The relative acoustic nonlinearity factor β from the HHG technique shows consistent trends for thick cracks but not for thin cracks. It can be concluded from the obtained parametric analysis results that the SPC-I technique is more robust and reliable for monitoring damages in engineering structures.

Compressive failure analysis of composite honeycomb sandwich panels with impact damage and stepped-scarf repairs

Composite honeycomb sandwich panels (CHSPs) have been widely used in the aerospace industry owing to their lightweight and superior mechanical properties. However, these CHSPs are susceptible to impact damage, leading to a significant reduction in compressive strength and potentially jeopardize aircraft safety. It is crucial to investigate repair methods for CHSPs with impact damage. This paper aims to evaluate the repair performance of CHSPs with impact damage through an analysis of their compressive failure behaviors. To accomplish this, both experimental tests and advanced numerical models are employed. The numerical models for the intact, damaged and stepped-scarf repaired CHSPs are established using the progressive failure analysis model, cohesive zone model and sandwich plate theory. A good agreement is observed between the experimental results and numerical predictions of compressive failure behaviors. Moreover, the validated numerical models are successfully utilized for determining optimum repair parameters by parametric analysis of the repaired CHSPs. The establishment of these numerical models offers an accurate and cost-effective evaluation of repair performance for CHSPs with impact damage, highlighting the novelty and main contribution of this paper.

Parametric analysis of the performance of the SPH solutions of unsteady free-surface flow

ABSTRACT In this article, the performances of the SPH method to solve Shallow Water Equations SWEs with three investigation parameters were studied, such as the type of kernel functions, namely: cubic spline, Gaussian and quintic spline kernels, the number of particles used and the stabilization terms injected, specifically: Lax Friedrichs flux, artificial viscosity and two shocks Riemann solver. Three benchmarking tests make the subject of unsteady free surface flow in this study. It is 1D typical dam-break on wet and dry bottom; 2D partial dam-break on a dry floodplain and 2D partial dam-break on channel with 90° bend. The analysis of the different errors between the numerical and analytical solutions and/or the experimental data shows that the SPH method gives reliable values with the selected optimal parameters which are the cubic kernel function and the artificial viscosity term. The increase in the number of particles increases the precision but also the calculation time.

A resolved CFD-DEM investigation into sand production under water flooding in unconsolidated reservoir

Excessive sand production in the wellbore can impede oil production from unconsolidated reservoirs. The study reports an investigation of numerical simulation of sand production in oil-water two-phase flow. The interaction between fluid and particles is achieved by coupling the discrete element method (DEM) with resolved computational fluid dynamics (CFD). By harnessing the advantages of the method, the numerical model can capture the movement of particles and the changes in fluid field at a scale smaller than fine particles. The model reveals the water flooding process in the granular matrix and effectively visualizes the microscopic mechanisms of particle migration. The results indicate that the model with water flooding exhibits higher produced mass compared to the model without water flooding. Parametric analysis shows that there is a critical fines content, which leads to the maximum sand production. With the increase of viscosity and the decrease of interfacial tension, the sand production increases.

Evaluation of Neuroprotective effect of Cassia occidentalis L. against Colchicine Induced Memory Impairment in Wistar Rats

Background: Alzheimer’s disease (AD) is a progressive neurological disorder that develops with aging. Objective: In this research, we have examined the anti - Alzheimer’s effect of ethanolic extract from roots of Cassia occidentalis L. on colchicine-induced Alzheimer’s in Wistar rats Methods: Ethanolic extract was obtained and spectroscopic, chromatography analysis was performed. Acute toxicity studies using Organization of Economic Co-operation and Development (OECD) Guidelines 423 were performed to examine and make sure that there were no signs of toxic effects. The induction of AD was done using colchicine which leads to symptoms like neurotoxicity, neuroinflammation, and neurodegeneration. In this experiment, a thorough analysis of body weight, behavioral parameters, locomotor activity, and biochemical evaluation was performed to estimate the medicinal properties of Cassia occidentalis L in treating Alzheimer’s disease. Results: Pharmacognostic analysis showed the presence of vascular bundles, starch grains, fibers, calcium oxalate crystals, elongated parenchyma, and collenchyma mucilage as shown in the supplementary files. Locomotor activity, Escape latency time, Conditioned avoidance response, and Transfer latency were improved with treatment. Interleukin- 6 (IL - 6) levels were reduced significantly in the Colchicine + 200 Cassia mg/kg group (739.2 ± 0.37 pg/ml) than in the Colchicine Group (850.6±0.40 pg/ml). Tumor necrosis factor (TNF-α) was decreased in the Colchicine + 200 Cassia mg/kg Group (1030.93±0.51 pg/ml) than in the Colchicine Group (1455.06±1.25 pg/ml). A significant decrease in total protein level was observed in the Colchicine Group (2.52±0.10 mg/ml), (3.33±0.90 mg/ml) as compared to Colchicine + 200 Cassia mg/kg Group (5.27±0.09 mg/ml, (5.01±0.10 mg/ml) respectively, in the Hippocampus and Entorhinal cortex. The levels of antioxidant enzymes such as Catalase (CAT), Serum superoxide dismutase (SOD), Reduced glutathione (GSH) and Malondialdehyde (MDA) were measured. When compared to the Colchicine Group (7.33±0.16 nM/ mg, the MDA level was lower in the Colchicine + 100 Cassia mg/kg Group (3.20±0.01 nM/ mg). The level of CAT in Colchicine + 200 Cassia mg/kg Group (7.01±0.03 μmoles of H2O2/mg of protein) was seen to be increased when compared to Colchicine Group (3.32 ± 0.17 μmoles of H2O2/mg of protein). The level of SOD in Colchicine + 200 Cassia mg/kg Group (7.43±0.02 U mg -1 of protein) was seen to be increased when compared with Colchicine Group (4.55±0.03 U mg -1 of protein). The level of GSH in Colchicine + 200 Cassia mg/kg Group (10.07±0.19 nM/mg -1 of protein) was increased when compared with the Colchicine Group (5.82±0.11nM/mg -1 of protein). Histopathology of the Hippocampus and Entorhinal cortex showed diminished amyloid plaques, and neurodegeneration in the treatment groups Conclusion: The present study showed that ethanolic extract from the roots of Cassia occidentalis L. At 100 and 200 mg/kg doses in Wistar rats improved memory damage, by reducing oxidative stress. Levels of the antioxidant enzymes as CAT, and SOD, GSH were increased and MDA was decreased. The cytokine levels in the serum of Wistar rats of IL-6 level and TNF-α level were reduced significantly. Estimation of total protein level was found to be increased. It restored neuronal degeneration in the Hippocampus, and Entorhinal cortex and reduced oxidative stress. This suggests that the ethanolic extract of Cassia occidentalis L. could be an effective therapeutic treatment for neurodegenerative diseases like AD.

Exploring the Mn doped BaTe alloy for spintronics and energy harvesting applications

In the present study, the ferromagnetic semiconductor behavior of Mn doped BaTe is reported along with their physical properties. The calculations are done by full potential linearized augmented plane wave (FP-LAPW) approach within spin-polarized density functional theory (SP-DFT). Formation energies were computed to satisfy the stability of reported alloys. The spin-polarization is included in the calculations to study the electronic (band structure (BS), density of states (DOS)) and magnetic characteristics. Ba1−xMnxTe elucidates the magnetic semiconductor nature with direct band gap (Eg) in both spin channels while indirect Eg (1.66 eV) is observed for pure BaTe compound. Stable ferromagnetic (FM) states are vindicated owing to the p-d hybridization which are contributors in inducing magnetic moments (μ B) at interstitial and non-magnetic sites. The optical parameters (reflectivity, absorption coefficient, refraction, optical conductivity and dielectric function) were computed within an energy range of 0–10 eV. Thermoelectric (TE) features are also figured using Boltaz-Trap code in terms of thermal and electrical conductivity, figure of merit, Seebeck coefficient and power factor. The analysis of optical parameters suggests that the considered alloys is active within visible to UV-range, having potential applications in optoelectronic, photovoltaic and thermoelectric applications.

Robotic vs. laparoscopic right hemicolectomy-An analysis of costs

The use of robotic surgical methods for performing right-sided hemicolectomy has been somewhat controversial, primarily due to concerns related to costs. The purpose of this study is to document the initial robotic right hemicolectomies conducted at our institution and to compare them with a laparoscopic reference group. A significant focus of this study is the detailed analysis of the costs associated with both techniques within the German healthcare system.Surgical and cost-related data for 34 cases each for robotic and laparoscopic right-sided hemicolectomy performed at Nürnberg Hospital were compared. This comparison was conducted through a retrospective single-center case-matched analysis. Cost analysis was carried out following the current guidelines provided by the Institute for the Hospital Remuneration System (InEK) of Germany.The average age of the patient cohort was 70 years, with a male patient proportion of 57.4%. Analysis of perioperative parameters indicated similar outcomes for both surgical techniques. Regarding the incidence of complications of Clavien-Dindo stages III-V (8.8% vs. 17.6%; p = 0.48), a positive trend towards robotic surgery was observed. The cost analysis showed nearly identical total costs for the selected cases in both groups (mean €13,423 vs. €13,424; p = 1.00), with the most significant cost difference noted in surgical (operative) costs (€5,779 vs. €3,521; p < 0.01). The lower costs for laparoscopic cases were primarily due to the reduced material costs (mean €2,657 vs. €702; p < 0.05).In conclusion, both surgical approaches are clinically equivalent, with only minor differences in the total case costs.

Existence of a detachment cliff at ASDEX Upgrade

The detachment cliff is a bifurcative transition to partial detachment recently discovered at the DIII-D tokamak (McLean et al 2015 J. Nucl. Mater. 463 533–6). This work presents a database analysis of target parameters in L-mode and H-mode discharges to search for a detachment cliff at ASDEX Upgrade (AUG). Most of the transitions from attached to partially detached divertor conditions observed in H- and L-mode discharges in AUG show bifurcative-like characteristics that are consistent with the properties of the detachment cliff if the B×∇B drift is directed towards the active X-point. In the operational space of power and density, the bifurcative transitions identified during an L-mode discharge occur at injected power and density higher than a threshold value ( Ptot > 0.7 MW and n e > 1.6 × 10 19 m−3, respectively). Furthermore, the temperatures at which the transitions start are found to be insensitive to the injected impurity, the injected power and the value of the upstream density. Finally, the study of the evolution of the target parameters, of the intensity of the Dα line and of specific manometers and bolometer lines of sights shows that the physical process underlying the detachment cliff and the self-sustained divertor oscillations (Heinrich 2020 Nucl. Fusion 60 076013) might be the same.

Performance analysis of a gas turbine engine with intercooling and regeneration process - Part 1

Abstract Auxiliary systems, such as regeneration and intercooling, have been integrated with the primary gas generator to improve power production and fuel economy in modern gas turbine power plants. Implementing these techniques in turbine engines is challenging due to size, weight, and complex flow patterns. A solution is to use a turboprop engine with a smaller mass flow rate and simpler gas paths. The current study involves the numerical analysis of performance parameters namely, specific power (SP), thermal efficiency (η), and enthalpy based specific fuel consumption (EBSFC) of a turboprop engine using thermodynamic parameters namely, pressure ratio (PR), nozzle pressure ratio (NPR), turbine inlet temperature (TIT), regeneration efficiency (R), and intercooling efficiency (E). The results prove that the introduction of regeneration and intercooling showed significant improvement in the power developed, and reduced fuel consumption.

INVESTIGATION OF THE EFFICIENCY OF NON-STEROIDAL ANTI-INFLAMMATORY VETERINARY MEDICINAL PRODUCT IN THE COMPLEX TREATMENT OF DISEASES OF THE MUSCULOSKELETAL SYSTEM OF PIGS

The article presents the results of clinical trials of a non-steroidal anti-inflammatory veterinary drug when administered to fattening piglets with clinical signs of musculoskeletal diseases. For the treatment of the diseases, piglets of the experimental (I) and control (II) groups received an antimicrobial drug based on the tetracycline antibiotic. The animals of the experimental group were additionally administered orally with drinking water the test non-steroidal anti-inflammatory drug based on acetylsalicylic, ascorbic and citric acids, in the recommended dosage by the manufacturer. Blood for laboratory tests was selected from piglets before and after the use of drugs. Studies of hematological and biochemical parameters were conducted according to generally accepted methods. The therapeutic efficiecy of the drug and its effect on the morphofunctional state of the body was evaluated by comparing the statistically processed data obtained before and after treatment, as well as in comparison with the indicators of animals of the control group. The analysis of hematological parameters of piglets during the experiment showed a decrease in the number of leukocytes in the animal’s blood after the use of drugs. The normalization of the leukogram was also noted by reducing the relative number of rod-nuclear neutrophils. In particular, this indicator decreased by 17.4% in group I piglets, and by 12% in group II piglets. It is noted that the clinical response to therapy was faster and more pronounced in animals, which used a non-steroidal anti-inflammatory drug in combination with an antimicrobial drug than in piglets, which were treated only by antibiotic. According to the results of biochemical studies, it was found that the content of urea in the serum of animals of both groups before the use of drugs exceeded more than 3 times the upper limit of physiological values for a given age group of piglets. After therapy with the drugs a significant decrease in the urea content in the blood serum of groups 1 and 2 animals was noted by 3.42 and 2.98 times, respectively. It is established that the activity of marker enzymes of the liver physiological state (ALT, AST) in the serum of group I piglets after complex treatment with the studied drugs was slightly reduced and was within the physiological values. In the serum of group II animals, which were treated only with antimicrobial drug, ALT activity increased by 12,0 %, and AST – by 38,6 %, compared to the initial data, and exceeded the limit of physiological values. An increase in the content of iron by 37.4 % in the blood of group I piglets, compared to the period before drug administration, was noted. No adverse reactions and negative phenomena were detected during the use of the test drug, and the drug was well tolerated. According to the clinical condition of the experimental group animals and the results of laboratory tests it was established that the use of non-steroidal anti-inflammatory drugs based on acetylsalicylic, ascorbic and citric acids simultaneously with antimicrobial therapy led to a faster improvement in the state of the musculoskeletal system. Observation during the month of the piglet’s clinical conditions confirmed the safety of the drug in the recommended dosage and method of administration in the combined treatment of inflammatory processes of the musculoskeletal system.