bluuebunny/crossref_metadata_2025_split huggingface dataset:
Turbocharged SOFC System: Emulation and Control in Cyber-Physical Mode
Authors: Ferrari Mario Luigi , Mantelli Luca , Pascenti Matteo 
Published: August 2023

The objective of this work regards an SOFC system pressurized by a turbocharger and the related emulation tests for control system development. Due to the interest in coupling high efficiency operations with reasonable capital costs a turbocharged SOFC plant layout has been proposed. This is due to significant cost decrease (in comparison with microturbine-based SOFC hybrids) related to the application of a turbocharger based on large mass manufacturing process. Moreover, the system has been sized to work with biogas to operate with a renewable source.
Due to the difficulties in studying the SOFC/turbocharger integration, especially for the dynamic and control aspects, the University of Genoa developed a devoted test rig where the fuel cell is emulated with a pressure vessel equipped with a burner (to have the same temperature range) and inert ceramic material (to have the same time-dependent response). The emulation tests presented in this work have been carried out to demonstrate the system feasibility in dynamic conditions and to assess the control system performance.
Postoperative Intravenous Iron Supplementation Increases Hemoglobin Level in Total Knee Arthroplasty
Authors: Nam Hee Seung , Ho Jade Pei Yuik , Park Seung Yun , Cho Joon Hee , Kim Yong Beom , Lee Yong Seuk 
Published: August 2023

AbstractIron supplementation provides iron storage and facilitates effective production of hemoglobin. The purpose of this study was to investigate the effect of early postoperative intravenous (IV) iron supplementation in different types of total knee arthroplasty (TKA) surgery. We retrospectively analyzed 863 patients who underwent TKA between September 2017 and September 2021. The IV iron (I) and non-IV iron (NI) groups were compared. Hemoglobin responders, defined as patients who showed a change in hemoglobin level of ≥2 g/dL at 6 weeks of surgery compared to the baseline immediate postoperative hemoglobin level, were identified and they were compared with the nonresponders. After logistic regression analysis, the patients were classified according to the type of surgery (unilateral TKA, staged bilateral TKA, and simultaneous bilateral TKA). A subgroup analysis was performed according to the comorbidity as Charlson Comorbidity Index (CCI). The type of surgery and the rate of hemoglobin responders differed between the I and NI groups. The surgery type and iron supplementation significantly affected the hemoglobin responder in the logistic regression model. In each surgery type, hemoglobin drop in the I group was generally lower in the second and sixth weeks than that in the NI group. It was also effective in reducing hemoglobin drop on the first day of the second surgery in staged bilateral TKA. In addition, the number of hospital days was lower in the IV iron supplementation group who underwent a staged bilateral TKA. CCI did not affect hemoglobin responder, hemoglobin drop, and transfusion rate in both the I and NI groups. Postoperative IV iron supplementation affected the outcome of hemoglobin responders. In addition, it reduced early postoperative hemoglobin drop. However, iron supplementation did not affect the transfusion rate, complications, and clinical outcome, regardless of the type of surgery.
Level of evidence Level III, case-control study.
Enteric Access: GI Perspective
Authors: Zakharia Kais 
Published: August 2023

AbstractEnteric access is the main method to obtain nutrition in patients with normally functioning gastrointestinal tract who are otherwise unable to feed orally. Enteric access can be obtained through the nose, mouth, or skin by a nurse, general practitioner, endoscopist, interventional radiologist, or a surgeon. In this article, we review the different types of feeding tubes, indications, contraindications, and potential complications.
Financial time series prediction under Covid-19 pandemic crisis with Long Short-Term Memory (LSTM) network
Authors: Mroua Mourad , Lamine Ahlem 
Published: August 2023

AbstractIn this paper, we design and apply the Long Short-Term Memory (LSTM) neural network approach to predict several financial classes’ time series under COVID-19 pandemic crisis period. We use the S&P GSCI commodity indices and their sub-indices and consider the stock market indices for different regions. Based on the daily prices, the results show that the proposed LSTM network can form a robust prediction model to determine the optimal diversification strategies. Our prediction model achieved RMSEs and MAEs too small for the different selected financial assets, showing the predictive power of our LSTM network especially during the COVID-19 health crisis. In addition, our LSTM network outperforms ARIMA-type models for all selected assets.
Multiscale global and local self-attention-based network for remaining useful life prediction
Authors: Zhang Zhizheng , Song Wen , Li Qiqiang , Gao Hui 
Published: August 2023

Abstract
Remaining useful life (RUL) prediction plays an important role in prognostics and health management (PHM) and can significantly enhance equipment reliability and safety in various engineering applications. Accurate RUL prediction enables proactive maintenance planning, helping prevent potential hazards and economic losses caused by equipment failures. Recently, while deep learning-based methods have swept the RUL prediction field, most existing methods still have difficulties in simultaneously extracting multiscale global and local degradation feature information from raw multi-sensor monitoring data. To address these issues, we propose a novel multiscale global and local self-attention-based network (MGLSN) for RUL prediction. MGLSN consists of global and local feature extraction subnetworks based on self-attention, which work in parallel to simultaneously extract the global and local degradation features of equipment and can adaptively focus on more important parts. While the global network captures long-term dependencies between time steps, the local network focuses on modeling local temporal dynamics. The design of parallel feature extraction can avoid the mutual influence of information from global and local aspects. Moreover, MGLSN adopts a multiscale feature extraction design (multiscale self-attention and convolution) to capture the global and local degradation patterns at different scales, which can be combined to better reflect the degradation trend. Experiments on the widely used Commercial Modular Aero-Propulsion System Simulation (CMAPSS), New CMAPSS (N-CMAPSS), and International Conference on Prognostics and Health Management 2008 challenge datasets provided by NASA show that MGLSN significantly outperforms state-of-the-art RUL prediction methods and has great application prospects in the field of PHM.
Numerical analysis of magnetohydrodynamics in an Eyring–Powell hybrid nanofluid flow on wall jet heat and mass transfer
Authors: Yaseen Moh , Rawat Sawan Kumar , Khan Umair , Sarris Ioannis E , Khan Humera , Negi Anup Singh , Khan Arshad , Sherif El-Sayed M , Hassan Ahmed M , Zaib Aurang 
Published: August 2023

AbstractThe customization of hybrid nanofluids to achieve a particular and controlled growth rate of thermal transport is done to meet the needs of applications in heating and cooling systems, aerospace and automotive industries, etc. Due to the extensive applications, the aim of the current paper is to derive a numerical solution to a wall jet flow problem through a stretching surface. To study the flow problem, authors have considered a non-Newtonian Eyring–Powell hybrid nanofluid with water and CoFe2O4and TiO2nanoparticles. Furthermore, the impact of a magnetic field and irregular heat sink/source are studied. To comply with the applications of the wall jet flow, the authors have presented the numerical solution for two cases; with and without a magnetic field. The numerical solution is derived with a similarity transformation and MATLAB-based bvp4c solver. The value of skin friction for wall jet flow at the surface decreases by more than 50% when the magnetic fieldMA=0.2is present. The stream function value is higher for the wall jet flow without the magnetic field. The temperature of the flow rises with the dominant strength of the heat source parameters. The results of this investigation will be beneficial to various applications that utilize the applications of a wall jet, such as in car defrosters, spray paint drying for vehicles or houses, cooling structures for the CPU of high-processor laptops, sluice gate flows, and cooling jets over turbo-machinery components, etc.
Miniature soft jumping robots made by additive manufacturing
Authors: Tsai Samuel , Wang Qiong , Wang Yuzhe , King William P , Tawfick Sameh 
Published: August 2023

Abstract
Fleets of insect-scale robots could navigate space-constrained environments for future applications in agriculture and maintenance. Long distance jumping expands the mobility of small robots. However, the performance of miniature jumpers is hindered by small-scale manufacturing processes and the limited library of design rules, materials, and actuators available at that scale. The intricate components in these robots are produced by manual assembly of miniature components, which imposes design constraints and causes mass inefficiency, reducing the overall system performance. Here, we combine bioinspired kinematic design, coiled artificial muscle actuators, and projection additive manufacturing (AM) to produce a monolithic elastomeric robot design. The fully elastomeric design, inspired by the kinematics of the locust jumping mechanism, can store elastic energy throughout the robot body before releasing it in the form of jumping kinetic energy, thus offering high energy storage density, miniaturization, and lightweight. Enabled by high-speed, production-grade AM, we designed and tested a fleet of 108 robot designs. The smallest tested robot has a length of 7.5 mm, a mass of 0.216 g, and jumps 60 times its body size in horizontal distance. A reduced-order model is developed to predict the compliant robot jumping distance, which agrees well with the experimental results. The jumping is driven by onboard coiled artificial muscles connected to a latch-triggering mechanism. Moreover, the robot can jump while carrying an integrated control system and power source to enable self-triggered jumping. A proof-of-concept motor-driven launch base is used to store large elastic energy in the robot. Overall, the combination of elastomeric AM, coiled artificial muscles, and an integrated triggering mechanism enables the production of fleets of high-performing miniature jumping robots.
Coupled dynamic and piezoelectric response of RPEHs embedded in road under traffic load via multiscale finite element models
Authors: Wang Peng , Pan Jiayao , Wang Jun , Shi Li , Wu Jianfeng 
Published: August 2023

Abstract
Road Piezoelectric Energy Harvesting Systems (RPEHs) effectively collect and convert mechanical energy from road surface into electrical energy for intelligent traffic guidance and monitoring. To accurately evaluate the energy harvesting efficiency of RPEHs under traffic loads and road conditions, a multiscale finite element model of traffic load-road-RPEHs is developed. The model encompasses a encapsulated stacked piezoelectric transducer embedded in an large-scale road model. This approach addresses the limitations of previous studies that neglected the effect of RPEHs structure on the dynamic and piezoelectric response. The large-scale model provides the dynamic response of RPEHs for an independent small-scale model of the stacked piezoelectric transducer to enable coupled dynamic and piezoelectric behavior. Furthermore, a piezoelectric output theory considering the loss impedance is formulated. Combining this theory with the open-circuit voltage obtained from the multiscale models, we determine the output voltage and power of RPEHs under various conditions, such as vehicle speeds, axle weights, burial depths. The results demonstrate that the loss impedance undergoes significant changes under different conditions, exerting a substantial impact on the output of RPEHs, which should be considered during analysis. RPEHs positioned closer to the road surface produce higher output but also exhibit increased stress concentration. The pavement modulus is inversely proportional to the piezoelectric output, while the subgrade modulus has a comparatively smaller impact due to the stiffness of RPEHs.
Multi-state, three-way, normally open mini valve based on 3D printed flexible magnets using origami-inspired magnetization
Authors: Han Pengfei , Lu Fang , Gong Guofang , Yang Huayong , Han Dong 
Published: August 2023

Abstract
Electromagnetic mini valves for controlling pneumatic soft actuators are attracting widespread interest in recent years. However, it is known that the traditional electromagnetic valves on the millimeter scale generally have three or fewer working states, and their moving parts are usually permanent magnets with a special shape that needs expensive manufacturing. To overcome these problems, this study aims to develop a mini valve with four working states based on flexible magnets at a low fabrication cost. We take full advantage of low-cost 3D-printed magnets’ physical and magnetic properties and improve their performance through origami-inspired magnetization. A fixed-beam-structure flexible magnet is proposed to control this valve via deformation so that valve’s two sides can be driven independently, resulting in four working states. Compared with conventional sintered magnets, 3D printing magnets can be manufactured quickly and affordably. Due to the proposed valves’ more operating states than the state-of-art three-way ones, they are proven to reduce the number of small control elements in the pneumatic system. The maximum flow rate of the valve at 5 kPa air pressure was 0.81 l min−1 at the power consumption of 20 W. This mini valve has the potential in controlling multi-degree-of-freedom pneumatic soft actuators.
Research on rheological properties and phenomenological theory-based constitutive model of magnetorheological shear thickening fluids
Authors: Zhao Qian , Wang Kan , Yuan Jing , Jiang Huiming 
Published: August 2023

Abstract
This paper investigates the rheological properties of magnetorheological shear thickening fluid (MRSTF) and proposes a phenomenological theory-based constitutive model. Multiple samples with varying mass fractions and particle sizes were prepared. Then, the rheological properties were experimentally studied, including the effects of silicon particle size and concentration, carbonyl iron powder concentration and magnetic field on rheological properties. Next, the sedimentation stability experiment was also carried out by the static observation method. Finally, based on phenomenological theory, a constitutive model called the M-S model was derived through geometric transformation of shear stress curves. The results show that there is an inhibitory relationship between magnetorheological and shear thickening effect, and the correlation between composition and rheological properties was established, which can provide guidance for preparation of MRSTF with required properties. It also shows that the MRSTF under specific preparation scheme could effectively avoid sedimentation, and its performance is clearly superior to traditional materials in terms of sedimentation resistance and damping adjustment. The accuracy and universality of the proposed model are fully verified by fitting shear stress curves and calculating the goodness of fit values. All these investigations can offer an effective guidance for further study of MRSTF in controllable damping equipment development.
Pressure driven structural phase transitions and modulations in optical properties of lanthanum nitride: an account from on the fly molecular dynamics and SCF vis-à-vis non-SCF first-principle calculations
Authors: Banik Rati Ray , Ghosh Swarup , Chowdhury Joydeep 
Published: August 2023

Abstract
The paper is focused to explore the pressure induced structural phase transitions and modulations of optical properties of lanthanum nitride (LaN) for the first time with the aid of first-principle density functional theory and Born–Oppenheimer on the fly molecular dynamics calculations. Crystal structures, Gibbs free energies and phonon dispersion spectra of the compound in its various phases under ambient and external pressures have been critically investigated. The key phonon modes responsible for these pressure driven transitions have also been unveiled. Electronic band structures and associated optoelectronic properties of the systems have been studied in detail from both the self-consistent field and non-self-consistent field calculations. The early signature of topological insulator for the high pressure phase of LaN has been addressed from the electronic band structure calculations. We believe that this study will not only help for futuristic designs of improved functionalized systems with LaN compound but also can augment their applications such as pressure sensors, pressure conducting switches, dissipationless transistors and in optoelectronic devices.
Multiscale heat transport with inertia and thermal vortices
Authors: Sýkora Martin , Pavelka Michal , Restuccia Liliana , Jou David 
Published: August 2023

Abstract
In this paper, we present a Hamiltonian and thermodynamic theory of heat transport on various levels of description. Transport of heat is formulated within kinetic theory of polarized phonons, kinetic theory of unpolarized phonons, hydrodynamics of polarized phonons, and hydrodynamics of unpolarized phonons. These various levels of description are linked by Poisson reductions, where no linearizations are made. Consequently, we obtain a new phonon hydrodynamics that contains convective terms dependent on vorticity of the heat flux, which are missing in the standard theories of phonon hydrodynamics. Within the zero-order Chapman-Enskog reduction, the resulting hydrodynamic equations are hyperbolic and Galilean invariant, while the first Chapman-Enskog expansion gives additional viscous-like terms. The vorticity-dependent terms violate the alignment of the heat flux with the temperature gradient even in the stationary state, which is expressed by a Fourier-Crocco equation. Those terms also cause that temperature plays in heat transport a similar role as pressure in aerodynamics, which is illustrated on numerical simulations of flow past a cylinder. In particular, we show that the vorticity-dependent terms lead to a colder spot just behind the cylinder, and for high-enough Reynolds numbers they lead to the von Kármán vortex street.
Dynamical analysis of a new 5D hyperchaotic system
Authors: Li Junhong , Cui Ning 
Published: August 2023

Abstract
This paper reports a new five-dimensional (5D) autonomous hyperchaotic system that is obtained by introducing two linear controllers to the Rabinovich system. The dynamical behaviors, including the boundedness, dissipativity and invariance, existence and stability of nonzero equilibrium points are studied and analyzed. The existences of the hyperchaotic and chaotic attractors are numerically verified through analyzing phase trajectories, Lyapunov exponent spectrum, bifurcations and Poincaré maps. The results indicate that the new 5D Rabinovich system can exhibit rich and complex dynamical behaviors. Finally, the existence of Hopf bifurcation, the stability and expression of the Hopf bifurcation are investigated by using the normal form theory and symbolic computations. Some cases are employed to test and verify the theoretical results.
Efficiency-loss analysis of monolithic perovskite/silicon tandem solar cells by identifying the patterns of a dual two-diode model’s current-voltage curves
Authors: Zeng Yuheng , Ding Zetao , Liu Zunke , Liu Wei , Liao Mingdun , Yang Xi , Ying Zhiqin , Sun Jingsong , Sheng Jiang , Yan Baojie , He Haiyan , Shou Chunhui , Yang Zhenhai , Ye Jichun 
Published: August 2023

Abstract
In this work, we developed a simple and direct circuit model with a dual two-diode model that can be solved by a SPICE numerical simulation to comprehensively describe the monolithic perovskite/crystalline silicon (PVS/c-Si) tandem solar cells. We are able to reveal the effects of different efficiency-loss mechanisms based on the illuminated current density-voltage (J-V), semi-log dark J-V, and local ideality factor (m-V) curves. The effects of the individual efficiency-loss mechanism on the tandem cell’s efficiency are discussed, including the exp(V/V
T) and exp(V/2V
T) recombination, the whole cell’s and subcell’s shunts, and the Ohmic-contact or Schottky-contact of the intermediate junction. We can also fit a practical J-V curve and find a specific group of parameters by the trial-and-error method. Although the fitted parameters are not a unique solution, they are valuable clues for identifying the efficiency loss with the aid of the cell’s structure and experimental processes. This method can also serve as an open platform for analyzing other tandem solar cells by substituting the corresponding circuit models. In summary, we developed a simple and effective methodology to diagnose the efficiency-loss source of a monolithic PVS/c-Si tandem cell, which is helpful to researchers who wish to adopt the proper approaches to improve their solar cells.
The influence of green manure crops on the growth, development, yield and fruits quality of eggplant
Authors: Martirosyan G S , Sarikyan K M , Adjemyan G J , Hakobyan A H , Pahlevanyan A M 
Published: August 2023

Abstract
The effectiveness of the use of beans (Phaseolus vulgaris L.), peas (Pisum sativum L.) and soybeans (Glycine max (L.) Merr.) belonging to the Fabaceae family was studied to identify the possibilities of use them as green manure to increase soil fertility and eggplant yield. The option without green manuring was accepted as a control. Experiments were conducted in 2021-2022. As a result of green manuring, available nitrogen content in the soil (N) increased by 20.8- 76.8%, phosphorus (P2O5) – by 58.6-89.6%, and potassium (K2O) – by 5.9-6.4%. The best result was observed in case of using soybean as siderat crop, where the volume weight of the soil decreased by 0.189g/sm3. The utilization of green manure crops had a positive effect on eggplant yield, surpassing the control in the case of soybeans by 24.3%, in beans option - by 18.2%, and in case of peas - by 14.5%. The results of the study conducted confirm that the application of the recommended green manure plants under the conditions of the Ararat valley of the Republic of Armenia has a positive effect on the growth and development of eggplant, as well as on yield and fruit quality indicators.
Modeling process of salt fringe formation during fertigation
Authors: Alekseev V V , Chuchkalov S I , Philippov V P , Vasiliev S A , Krasnov V K 
Published: August 2023

Abstract
The introduction of mineral substances into the soil through fertigation ensures the localization of the nutrients necessary for the plant in the area of the root system. However, under certain conditions, this method leads to soil salinization. When the soil dries out, salts are predominantly concentrated at the boundary between dry and wet soil, forming a salt fringe. The article describes the results of experiments and a software tool designed to simulate the process of redistribution of salts during soil drying. The results of calculations for soils of central Russia are presented, taking into account the main hydrophysical characteristics of the soil and the function of hydraulic conductivity under various initial conditions in the form of moisture gradients depending on the depth of the soil, the intensity and duration of irrigation, and the concentration of nutrients. It is shown that by selecting the appropriate initial conditions and irrigation regimes, it is possible to significantly reduce the intensity of the formation of salt fringes.