Search

The effects of the solution's dielectric properties on the conformation and dynamics of star-shaped polyelectrolytes in shear flow are investigated using a hybrid simulation method coupling multi-particle collision dynamics and molecular dynamics. The simulation results showed that by modulating the dielectric properties of the solution, star-shaped polyelectrolytes showed a three-step dynamic behavior transition from tumbling to tank-treading to tumbling dynamics under shear flow. The analysis indicated that this distinct transition in dynamics could be attributed to the uneven distribution of counterions induced by shear on the chain, resulting in a change in the polyelectrolyte conformation and degree of segmental alignment in arms. These findings contribute to a comprehensive understanding of the non-equilibrium dynamics of star-shaped polyelectrolytes in shear flow and offer a viable approach for controlling the dynamic behavior of star-shaped polyelectrolytes by adjusting the dielectric properties of the solution. [ABSTRACT FROM AUTHOR]

Traditional machining is transforming to digital and intelligent machining, in which adaptive machining cyber-physical system (CPS) provides a useful approach to control the machining quality of large thin-walled parts. And the running of adaptive machining CPS is a complex multi-processes execution flow, which can be regarded as a continuous–discrete hybrid system. To realise adaptive controlling of machining quality and adaptive managing of process flow, a unified model for continuous–discrete hybrid adaptive machining CPS is constructed. Firstly, an architecture of adaptive machining CPS is proposed. Next, the cutting process in adaptive machining CPS is modelled as a continuous-variable system (CVS), while the process flow in adaptive machining CPS is modelled as a discrete-events system (DES). Then, the finite state machine is adopted to integrate the CVS and DES to form the unified model of adaptive machining CPS. Finally, an adaptive machining CPS is developed based on the unified model, and the machining results demonstrate that machining quality is efficiently controlled, as well as the process flow is orderly managed. The built unified model has four features, respectively universality, integrability, scalability, and reconfigurability, which can be reconstructed to form a new instancing model according to the different machining requirements. [ABSTRACT FROM AUTHOR]

The theory of analytic gradients is presented for the projector-based density functional theory (DFT) embedding approach utilizing the Huzinaga-equation. The advantages of the Huzinaga-equation-based formulation are demonstrated. In particular, it is shown that the projector employed does not appear in the Lagrangian, and the potential risk of numerical problems is avoided at the evaluation of the gradients. The efficient implementation of the analytic gradient theory is presented for approaches where hybrid DFT, second-order Møller–Plesset perturbation theory, or double hybrid DFT are embedded in lower-level DFT environments. To demonstrate the applicability of the method and to gain insight into its accuracy, it is applied to equilibrium geometry optimizations, transition state searches, and potential energy surface scans. Our results show that bond lengths and angles converge rapidly with the size of the embedded system. While providing structural parameters close to high-level quality for the embedded atoms, the embedding approach has the potential to relax the coordinates of the environment as well. Our demonstrations on a 171-atom zeolite and a 570-atom protein system show that the Huzinaga-equation-based embedding can accelerate (double) hybrid gradient computations by an order of magnitude with sufficient active regions and enables affordable force evaluations or geometry optimizations for molecules of hundreds of atoms. [ABSTRACT FROM AUTHOR]

Estimating the rate of rare conformational changes in molecular systems is one of the goals of molecular dynamics simulations. In the past few decades, a lot of progress has been done in data-based approaches toward this problem. In contrast, model-based methods, such as the Square Root Approximation (SqRA), directly derive these quantities from the potential energy functions. In this article, we demonstrate how the SqRA formalism naturally blends with the tensor structure obtained by coupling multiple systems, resulting in the tensor-based Square Root Approximation (tSqRA). It enables efficient treatment of high-dimensional systems using the SqRA and provides an algebraic expression of the impact of coupling energies between molecular subsystems. Based on the tSqRA, we also develop the projected rate estimation, a hybrid data-model-based algorithm that efficiently estimates the slowest rates for coupled systems. In addition, we investigate the possibility of integrating low-rank approximations within this framework to maximize the potential of the tSqRA. [ABSTRACT FROM AUTHOR]

We propose a theoretical scheme for the generation of nonreciprocal microwave-optical entanglement in a magnon-based hybrid system where an optical photon in a spinning resonator is coupled to a phonon representing the quantum of the mechanical deformation of a yttrium iron garnet crystal via radiation pressure. Meanwhile, the magnon interacts with the phonon and the microwave through the magnetostrictive and magnetic dipole–dipole interactions, respectively. By spinning the resonator, the light driven in opposite directions propagates irreversibly, which leads to the classical nonreciprocity of mean optical photon numbers. Strikingly, the nonreciprocal entanglement between microwave and optical photons can be generated owing to the Fizeau light-dragging effect. Physically, the magnon–phonon entanglement induced by the magnomechanical parametric downconversion interaction is partially transferred to the microwave-optical subsystem through magnon-microwave and optomechanical state-exchange interactions. Moreover, the nonreciprocity of entanglement can be manipulated by properly choosing various system parameters and the ideal nonreciprocal microwave–optical entanglement could be achieved, in which the entanglement depending on the effective optical detuning is present in a chosen direction but disappears in the other direction. Our work could be applied in the multi-task quantum information processing and construction of chiral quantum networks. [ABSTRACT FROM AUTHOR]

Hybrid atom-ion systems are a rich and powerful platform for studying chemical reactions, as they feature both excellent control over the electronic state preparation and readout as well as a versatile tunability over the scattering energy, ranging from the few-partial wave regime to the quantum regime. In this work, we make use of these excellent control knobs, and present a joint experimental and theoretical study of the collisions of a single 138Ba+ ion prepared in the 5 d 2 D 3 / 2 , 5 / 2 metastable states with a ground state 6Li gas near quantum degeneracy. We show that in contrast to previously reported atom-ion mixtures, several non-radiative processes, including charge exchange, excitation exchange and quenching, compete with each other due to the inherent complexity of the ion-atom molecular structure. We present a full quantum model based on high-level electronic structure calculations involving spin-orbit couplings. Results are in excellent agreement with observations, highlighting the strong coupling between the internal angular momenta and the mechanical rotation of the colliding pair, which is relevant in any other hybrid system composed of an alkali-metal atom and an alkaline-earth ion. [ABSTRACT FROM AUTHOR]

The current study experimentally investigates the performance of a hybrid standalone solar system of atmospheric water harvesting (AWH) and solar photovoltaic powering electrolyzer for green water and green hydrogen production. The system prototype is designed, constructed, and tested under outdoor summer and winter climate conditions of Alexandria, Egypt at different operating and design enhancement conditions. Water electrolyzes concept for green hydrogen production system driven by a photovoltaic panel and silica gel absorption/desorption atmospheric water harvesting solar still concept with insertion of porous sheet metals for freshwater production is performed and evaluated. The results show a rise of the AWH freshwater production of (60% and 120%) and (146% and 260%) in summer and winter, respectively with the insertion of one and two porous metal sheets, respectively. The maximum rise of the AWH efficiency is 82% in summer and 53.4% in winter by using 2 porous metal sheets. The hydrogen production rate of the system in summer is higher than that of winter by about 25%. System efficiency is almost doubled when electrolyzer KOH concentration increased from 4 gm/kg to 12 gm/kg water. The average daily system efficiency of the AWH, electrolyzer, and overall system reaches 11.6%, 65.1%, and 2.6% when operating at a KOH concentration of 12 gm/kg with two porous metal sheets. The study contributes to achieving mainly SDG goals 6, 7, and 13. • Standalone solar green hydrogen and atmospheric water harvesting system is studied. • Double porous metal sheets enhance water harvesting by 53.4–82%. • Double system efficiency obtained by rising electrolyte concentration of 12 gm/kg. • Daily system efficiency reaches 2.6% for 12 gm/kg electrolyte with two metal sheets. [ABSTRACT FROM AUTHOR]

In response to the limitation of cable power supply on the movement range of mobile welding robots and the difficulty in achieving automatic welding of large equipment, a fuel cell hybrid power system is applied to the electric drive system of welding robots. State machines are used to determine the energy distribution state of hybrid power systems, while fuzzy algorithms are used to control the energy distribution of hybrid power in some states. In order to reduce the fluctuation of fuel cell power output and improve the economy of the energy supply system, a guidance head optimization algorithm is adopted to adjust the fuzzy membership function. Taking hydrogen consumption and fuel cell power output fluctuations as optimization objectives, and the SoC and fuzzy load deviation adjustment function of lithium-ion batteries as input variables, optimize the output power distribution of fuel cells and lithium-ion batteries. Compared with the optimization results of traditional guidance head optimization algorithms, particle swarm optimization algorithms, and fuzzy algorithms, the improved guidance head optimization algorithm can converge with fewer iterations while satisfying the dynamic response of robots, and can effectively improve the output power characteristics of fuel cells. Therefore, the control strategy studied in this article can effectively improve the output power characteristics of fuel cells, reduce output current ripple, and shorten response time. At the same time, it reduces the equivalent hydrogen consumption of the hybrid system and improves fuel economy. • The hybrid power system is used to drive the mobile welding robot. • The hybrid driving performance of the mobile welding robot. • Optimization control based on seeker optimization algorithm and fuzzy. [ABSTRACT FROM AUTHOR]

This paper investigates a carbon capture and utilization plant that converts steelmaking exhaust gases into valuable fuels. It examines the behavior of synthesis gas, identifies optimal operational parameters, and explores kinetics for methanol and ethanol production. Additionally, it examines the impact of varying H 2 /CO, and H 2 /CO 2 ratios and evaluates the efficiency of a hybrid system combining a solid oxide fuel cell (SOFC) and gas turbine (GT) powered by synthesized methanol. Using the Chemical Equilibrium with Applications software, the study analyzes the dynamic behavior of synthesis gas molar fractions within the water-gas shift reactor and Fischer Tropsch reactor. Optimal operational parameters were identified at a temperature range of 200–250 °C, pressure of 4.5 MPa, H 2 /CO, and H 2 /CO 2 ratios of 2.0, enabling efficient carbon conversion. Further exploration into the kinetics, alongside the commercial Cu/ZnO/Al 2 O 3 catalyst in the Fischer Tropsch synthesis, supports methanol and ethanol production. Increased H 2 /CO, and H 2 /CO 2 ratios favor methanol production with lower carbon dioxide fractions, while ethanol production and CO 2 emissions decrease as these ratios rise. Finally, a case study incorporates exergoeconomic and exergoenvironmental analyses of a SOFC-GT hybrid system fuelled by methanol from Fischer Tropsch synthesis, where the combustor exhibits the lowest exergy efficiency (62.3%), while the fuel cell achieves an exergy efficiency of about 86.5%. • The study examines converting steel industry exhaust gases into fuels via a CCU plant. • It uses software to analyze syngas behavior in key reactors. • Optimal parameters: 200–250 °C, 4.5 MPa, and H 2 /CO and H 2 /CO 2 ratios of 2.0. • Findings detail equilibrium and kinetics for syngas conversion. • Controlling temperature, pressure, and gas ratios boosts fuel yield and efficiency. [ABSTRACT FROM AUTHOR]

A critical issue regarding the unreliable electricity supply in regions experiencing frequent grid outages poses significant economic and social challenges. Despite the integration of renewable energy sources like photovoltaic (PV) systems, the intermittent nature and low reliability of these resources necessitate additional energy storage solutions. The study investigates the effectiveness of various power system configurations, including PV only, PV/BES, and PV/BES/H 2 systems. Using HOMER software, the study delves into investigating the impact of different outage parameters, specifically focusing on the outage durations and frequencies to the reliability and cost-effectiveness of these systems. The study analyzes how these outage parameters influence the loss of power supply probability (LPSP) and the cost of energy (COE). Three cases were being investigated in this study, which are Case 1: Varying mean outage duration (MOD) with fixed outage frequency (OF), Case 2: Varying OF with MOD and Case 3: Varying both the MOD and OF. The inclusion of H 2 storage significantly reduced the LPSP in Case 1, from a range of 0.882%–2.79% in the PV/BES system to a much lower range of 0.15%–0.392%. In Case 2, the PV/BES/H 2 system also markedly improved reliability, lowering the LPSP from 0.0751% to 1.28% in the PV/BES system to just 0.0279%–0.189%. The results of Case 3 demonstrate that OF has a greater impact on system reliability, as evidenced by a significantly larger rate of change in LPSP when varying OF with constant MOD compared to varying MOD with constant OF. Therefore, the inclusion of energy storage significantly enhances reliability, with the PV/BES/H 2 system showing the lowest LPSP values in both cases. However, COE for the PV/BES/H 2 system was higher in both cases, ranging from 0.22 to 0.326 $/kWh, compared to 0.101 to 0.156 $/kWh for the PV/BES system. This highlights the need for advancements in H 2 storage technology to reduce cost. These findings underscore the critical importance of accurately sizing components to ensure a reliable and economical power supply in regions with unstable grids. • This study investigates the reliability and cost-effectiveness of the hybrid systems. • The outage durations and frequencies of the hydrogen-based hybrid systems are investigated. • The loss of power supply probability and the cost of energy parameters are analyzed. • Mean outage duration and outage frequency are investigated to demonstrate LPSP and COE. • This study highlights that the advanced H 2 storage technology can reduce the system cost. [ABSTRACT FROM AUTHOR]

Wearable sensors with excellent comfort, flexibility and fast response are widely applied in human-machine interactions, artificial skin, motion detection and healthcare monitoring. However, preparation processes of the most of current piezoelectric sensors are relatively expensive and complicate, limiting their mass productions in the applications. This work demonstrates the superior piezoelectric performance and stability of ZnO/AlN flexible thin films prepared by magnetron sputtering for broad-range human motions detection, and first-principles calculation are applied to reveal the complicate piezoelectric effect of the hybrid system. The ZnO/AlN hybrid thin films sensor exhibits superior piezoelectric performance and excellent reliability, with presenting high outputs voltage (3.63 V), high degree of response speed (42.33 ms), water stability and robust performance upon 10000 cycles. First-principles calculations reveal that formation of the ZnO/AlN interface facilitates charge transport and improves efficiency of carrier transport, and results in reduced in band gap and enhanced electrical conductivity. By applying the sensors in human health monitoring, the underlying behaviors can be determined by output voltage of the sensor in real-time. This work offers a sensitive, simple structured and robust solution for human motion detection. [Display omitted] [ABSTRACT FROM AUTHOR]

Carotenoid pigments produce the yellow and red colors of birds and other vertebrates. Despite their importance in social signaling and sexual selection, our understanding of how carotenoid ornamentation evolves in nature remains limited. Here, we examine the long-tailed finch Poephila acuticauda , an Australian songbird with a yellow-billed western subspecies acuticauda and a red-billed eastern subspecies hecki , which hybridize where their ranges overlap. We found that yellow bills can be explained by the loss of C(4)-oxidation, thus preventing yellow dietary carotenoids from being converted to red. Combining linked-read genomic sequencing and reflectance spectrophotometry measurements of bill color collected from wild-sampled finches and laboratory crosses, we identify four loci that together explain 53% of variance in this trait. The two loci of largest effect contain the genes CYP2J19 , an essential enzyme for producing red carotenoids, and TTC39B , an enhancer of carotenoid metabolism. A paucity of protein-coding changes and an enrichment of associated upstream variants suggest that the loss of C(4)-oxidation results from cis -regulatory evolution. Evolutionary genealogy reconstruction indicates that the red-billed phenotype is ancestral and that yellow alleles at CYP2J19 and TTC39B first arose and fixed in acuticauda approximately 100 kya. Yellow alleles subsequently introgressed into hecki less than 5 kya. Across all color loci, acuticauda -derived variants show evidence of selective sweeps, implying that yellow bill coloration has been favored by natural selection. Our study illustrates how evolutionary transitions between yellow and red coloration can be achieved by successive selective events acting on regulatory changes at a few interacting genes. [Display omitted] • Long-tailed finch bill color varies due to change in regulation of C(4)-oxidation • Yellow bill color is a derived, recessive trait associated with CYP2J19 and TTC39B • Selection on yellow alleles has driven their introgression between subspecies • Divergence of a carotenoid color ornament results from cis -regulatory changes Carotenoid color ornaments play important roles in social signaling and species recognition. Hooper et al. show that bill-color variation in long-tailed finches is associated with genes controlling the metabolism of red pigments from yellow dietary precursors. Selection favoring yellow alleles is causing the trait to introgress between subspecies. [ABSTRACT FROM AUTHOR]

Switching from the urea oxidation reaction (UOR) to the oxygen evolution reaction (OER) is a beneficial way to lower the amount of energy needed to make hydrogen gas during the hydrogen evolution reaction (HER). Due to the sluggish reaction kinetics of the six electrons reaction of UOR, designing a privileged bifunctional electrocatalyst for both HER and UOR necessitates. The 2D nano-sized non-noble metal electrocatalysts make it possible to speed up reactions and improve their electrocatalytic performance. We synthesized nickel-cobalt-MXene composite nanosheets (NiCoMXene) on the surface of copper foam using a one-pot, simple, and ultra-fast electrochemical method. This 2D electrocatalyst demonstrates high electrocatalytic performance towards HER (overpotential of 76 mV at −10 mA cm−2) with excellent durability in alkaline media. Furthermore, NiCoMXene nanocomposite served as a bifunctional electrocatalyst to investigate hydrogen gas production by a hybrid system HER coupled with UOR in seawater. The NiCoMXene requires a low overpotential for HER (81 mV) and UOR (1.38 V) to achieve a current density of 10 mA cm−2 in seawater, and the needed cell voltage to reach the same current density is 1.42 V in seawater. Our DFT analysis found a significant synergy between MXene and NiCo in the electrocatalyst. PDOS analysis showed remarkably that introducing Ni atoms to MXene shifts the d-band center to the left (lower energy), while Co atoms shifts it to the right (higher energy) and increased states near the Fermi level. This electronic structure makes the nanocomposite an ideal electrocatalyst, with MXene providing electrons and Co atoms serving as active sites for both HER and UOR. This research work can provide a useful directive to explore the electrocatalysts with outstanding catalytic activity. [Display omitted] • Synthesized a 2D NiCoMXene nanocomposite electrocatalyst with high performance for both HER and UOR. • Employed a one-pot, simple, and ultra-fast electrochemical method to synthesize NiCoMXene on copper foam. • High catalytic activity was analyzed using electrochemical techniques and density functional theory. • NiCoMXene exhibited exceptional stability, efficiency, and catalytic kinetics. [ABSTRACT FROM AUTHOR]

The liberal world order is showing signs of disarray: two recent catastrophes in adjoining parts of the world (the Middle East and South Caucasus) have opened the fissures of the international governance gap; and the continuing ramifications of COVID-19 have already paralysed the world. On top of this post-pandemic disquietude, multiple conflicts this year are either in danger of precipitating or wars have already re-ignited over long-standing continuing conflicts, highlighting the failure of international governance institutions, including the UN system. In recent years, one of the central responses to the multilateral failures at multiple levels has been for states to form 'narrower' and 'more flexible' frameworks called 'minilaterals'. Thus minilateralism has been contrasted through the lens of receding multilateralism, which has been a long-standing hallmark of the American-led liberal international order. This paper examines how far global governance would be dependent on minilateralism by exploring this growing trend in the Indo-Pacific and explores how minilateralism models can enhance international governance structures. This paper also attempts to analyse whether minilateralism is a product of regional fragmentation, or whether it can reinvigorate the comatose multilateralism. Then this paper posits that minilateralism helps rejig the chaotic multipolar order and thus re-invent global governance. [ABSTRACT FROM AUTHOR]

In areas where conventional energy sources are unavailable, alternative energy technologies play a crucial role in generating electricity. These technologies offer various benefits, such as reliable energy supply, environmental sustainability, and employment opportunities in rural regions. This study focuses on the development of a novel optimization algorithm called the modified firebug swarm algorithm (mFSO). Its objective is to determine the optimal size of an integrated renewable power system for supplying electricity to a specific remote site in Dehiba town, located in the eastern province of Tataouine, Tunisia. The proposed configuration for the standalone hybrid system involves PV/biomass/battery, and three objective functions are considered: minimizing the total energy cost (COE), reducing the loss of power supply probability (LPSP), and managing excess energy (EXC). The effectiveness of the modified algorithm is evaluated using various tests, including the Wilcoxon test, boxplot analysis, and the ten benchmark functions of the CEC2020 benchmark. Comparative analysis between the mFSO and widely used algorithms like the original Firebug Swarm Optimization (FSO), Slime Mold Algorithm (SMA), and Seagull Optimization Algorithm (SOA) demonstrates that the proposed mFSO technique is efficient and effective in solving the design problem, surpassing other optimization algorithms. [ABSTRACT FROM AUTHOR]

The circular economy requires advanced methods to recycle waste matter such as ammonia, which can be further used as a fuel and a precursor of numerous value-added chemicals. Here, we review methods for the recovery of ammonia from wastewater with emphasis on biological and physicochemical techniques, and their applications. Biological techniques involve nitrification, denitrification, and anammox processes and the use of membrane bioreactors. Physicochemical techniques comprise adsorption, membrane filtration, ion exchange, chemical precipitation, ammonia stripping, electrochemical oxidation, photocatalytic oxidation, bioelectrochemical systems, and membrane hybrid systems. We found that nitrification and anammox processes in membrane bioreactors stand out for their cost-effectiveness, reduced sludge production, and energy efficiency. The use of struvite precipitation is an efficient, environmentally friendly, and recyclable method for ammonia removal. Membrane hybrid systems are promising for ammonia recovery, nutrient concentration, and wastewater treatment, with applications in fertilizer production and water purification. Overall, nitrogen removal ranges from 28 to 100%, and nitrogen recovery ranges from 9 to 100%. [ABSTRACT FROM AUTHOR]

Summary: A novel hybrid‐multiplexed fifteen‐switch converter (HM‐15SC) topology, which can simultaneously output a set of three‐phase AC and three sets of DC, is proposed to address the problems of a single type of power electronic converter and the complexity of coordinated control of AC/DC hybrid systems for smart grid. In this paper, we conduct a detailed analysis of the topology and operating principles of HM‐15SC. This includes an examination of the converter's effective switching states in relation to output voltage, current paths, and maximum voltage stress. In addition, a modulation strategy combining single‐leg independent model prediction current control (SL‐MPCC) and time‐sharing cooperative (TSC) ideas is proposed to establish a single‐leg AC current prediction model, which effectively reduces the prediction arithmetic under the premise of realizing three‐leg independent prediction control and optimal control of AC/DC hybrid outputs. Finally, we verify the feasibility and superiority of the proposed HM‐15SC topology and its modulation strategy using the Typhoon HIL 402 platform. [ABSTRACT FROM AUTHOR]

[Display omitted] • Biowaste conversion can achieve carbon neutrality and environmental sustainability. • Fabrication and formation mechanisms of BCMs were reviewed in plasma hybrid system. • Plasma modified BCM has a new transition lattice phase and exhibits high resilience. • Artificial intelligence is beneficial for applications in biowaste management. • Unique 2D structures can be designed from biowaste with fascinating properties. This review focuses on the recent advances in the sustainable conversion of biowaste to valuable carbonaceous materials. This study summarizes the significant progress in biowaste-derived carbon materials (BCMs) via a plasma hybrid system. This includes systematic studies like AI-based multi-coupling systems, promising synthesis strategies from an economic point of view, and their potential applications towards energy, environment, and biomedicine. Plasma modified BCM has a new transition lattice phase and exhibits high resilience, while fabrication and formation mechanisms of BCMs are reviewed in plasma hybrid system. A unique 2D structure can be designed and formulated from the biowaste with fascinating physicochemical properties like high surface area, unique defect sites, and excellent conductivity. The structure of BCMs offers various activated sites for element doping and it shows satisfactory adsorption capability, and dynamic performance in the field of electrochemistry. In recent years, many studies have been reported on the biowaste conversion into valuable materials for various applications. Synthesis methods are an indispensable factor that directly affects the structure and properties of BCMs. Therefore, it is imperative to review the facile synthesis methods and the mechanisms behind the formation of BCMs derived from the low-temperature plasma hybrid system, which is the necessity to obtain BCMs having desirable structure and properties by choosing a suitable synthesis process. Advanced carbon–neutral materials could be widely synthesized as catalysts for application in environmental remediation, energy conversion and storage, and biotechnology. [ABSTRACT FROM AUTHOR]

This paper presents robust control design conditions for uncertain sampled-data systems. We transform such systems into interval or polytopic uncertain hybrid dynamic models, which we then use to analyse and design H 2 conditions. The numerical examples in this paper demonstrate the efficacy of the proposed methods. [ABSTRACT FROM AUTHOR]

Food dyes with a diverse set of colorants stimulate appetite and enhance aesthetic charm of food on table but at the same time these dyes contaminate the aquatic and biological ecosystems due to their cytotoxic and carcinogenic potentials. Herein, we report magnetite catalyzed removal of sunset yellow dye from water through catalytic degradation and ozonation. The magnetite catalyst revealed about 83% catalytic degradation and 92% catalytic ozonation performance toward sunset yellow dye at 100 and 25 min, respectively. Furthermore, the persulphate/magnetite/O3 hybrid system revealed superior performance compared to the persulphate/magnetite under identical conditions. Kinetic studies revealed that the dye degradation data followed second-order kinetics, suggesting that the dye removal process is physicochemical in nature. This study further demonstrates that the persulfate/magnetite/O3 hybrid system can efficiently decompose sunset yellow dye in aqueous solution compared to the Fenton's reagent and simple catalytic decomposition processes which is attributed to its unique structural features. [ABSTRACT FROM AUTHOR]

Developing the sustainable and cost‐effective heterogeneous catalytic system for controlling chemoselectivity holds substantial importance in fine organic chemicals. Herein we construct a unique Zr(OH)4 + CuO physically hybrid system for selective oxidation of anilines. Zr(OH)4 alone leads to azoxybenzene formation, and Zr(OH)4 + CuO shifts the reaction favorably toward nitrosobenzene. The proximity study indicates Zr(OH)4 + CuO outperforms its counterparts synthesized through methods like ball‐milling, loading, and coprecipitation, because the closer proximity exhibits stronger chemical interaction, restricting the activity of Zr‐OH hydroxyl sites. Through mechanistic experiments, in situ DRIFT‐IR and DFT calculations, a new Ph‐N˙OH intermediate mechanism is firstly proposed. Two Ph‐N˙OH self‐condensate to form azoxybenzene for only Zr(OH)4, whereas Zr(OH)4 + CuO could promote rapid transformation of Ph‐N˙OH to nitrosobenzene on CuO through a hydrogen transfer process. Moreover, Zr(OH)4 + CuO displays good recyclability and robust scalability. This is the first report demonstrating the utilization of a physically hybrid catalyst to adjust the selectivity of the aniline oxidation reaction. [ABSTRACT FROM AUTHOR]

In the quest for high-speed, reliable and cost-effective backhaul solutions for modern cellular networks, the hybrid free space optical (FSO) and radio frequency (RF) communication system is envisaged to be a promising technology. The hybrid system merges the benefits of both RF and FSO subsystems, delivering high data rates and reliability. The integration of both technologies improves the communication system's performance by addressing the inherent limitations of each. This study proposes a singlethreshold hard-switching hybrid FSO/RF system for reliable pico-macrocell backhauling applications. We formulated closed-form expressions for the cumulative density functions (CDFs), probability density functions (PDFs), and outage probability (OP) for RF-only, FSO-only and hybrid FSO/RF links. The rician fading and gamma-gamma (G-G) channel distributions were utilized, respectively. The average received signal-to-noise ratio (SNR) determines the switching mechanism based on the defined threshold and atmospheric condition. Simulation results and analysis demonstrated that, at any average SNR above the defined threshold, the hybrid system's OP outperforms that of the RF-only and FSO-only links under most conditions. The analysis illustrates that employing the hybrid FSO/RF system enhances reliability and boosts overall system performance in pico-macrocell backhauling scenarios, surpassing the performance of standalone FSO-only or RF-only links. [ABSTRACT FROM AUTHOR]

Due to the limitations of the model itself, the performance of switched autoregressive exogenous (SARX) models will face potential threats when modeling nonlinear hybrid dynamic systems. To address this problem, a robust identification approach of the switched gated recurrent unit (SGRU) model is developed in this paper. Firstly, all submodels of the SARX model are replaced by gated recurrent unit neural networks. The obtained SGRU model has stronger nonlinear fitting ability than the SARX model. Secondly, this paper departs from the conventional Gaussian distribution assumption for noise, opting instead for a generalized Gaussian distribution. This enables the proposed model to achieve stable prediction performance under the influence of different noises. Notably, no prior assumptions are imposed on the knowledge of operating modes in the proposed switched model. Therefore, the EM algorithm is used to solve the problem of parameter estimation with hidden variables in this paper. Finally, two simulation experiments are performed. By comparing the nonlinear fitting ability of the SGRU model with the SARX model and the prediction performance of the SGRU model under different noise distributions, the effectiveness of the proposed approach is verified. [ABSTRACT FROM AUTHOR]

We formally introduce IsaVODEs (Isabelle verification with Ordinary Differential Equations), an open, compositional and extensible framework for the verification of cyber-physical systems. We extend a previous semantic approach with methods and techniques that increase its expressivity, proof automation, and scalability to the level of state-of-the-art deductive verification tools. Our contributions include a user-friendly specification language, a flexible hybrid store model, including vectors and matrices, and separation-logic-style rules for local reasoning with hybrid stores using a novel form of differentiation called framed Fréchet derivatives. The formalisation of correctness specifications with forward predicate transformers, the certification of flows as unique solutions to systems of ordinary differential equations, and invariant reasoning for such systems also contribute to the scalability and usability of our framework. In combination, these features make our framework flexible and adaptable to several verification workflows. A suite of examples and hybrid systems verification benchmarks validate our framework relative to other state-of-the-art approaches. [ABSTRACT FROM AUTHOR]

To ensure the continuous high-efficiency operation of fuel cell systems, it is essential to perform real-time estimation of the maximum efficiency point and maximum power point for multi-stack fuel cell systems. The region between these two power points is commonly referred to as the "high-efficiency operating region." Initially, a transformation of the general expression for hydrogen consumption in multi-stack fuel cell systems is conducted to obtain an algebraic expression for the efficiency curve of multi-stack fuel cells. Utilizing a polynomial differentiation approach, the parameter equation for the maximum system efficiency is computed. Subsequently, a reverse deduction is carried out using the maximum efficiency and its corresponding power of underperforming subsystems to enhance the maximum efficiency of multi-stack fuel cell systems.Furthermore, an equivalent hydrogen consumption minimization method is introduced for real-time optimization of hybrid energy systems. The state machine control method serves as an auxiliary strategy, imposing the high-efficiency operating region as a boundary constraint for the equivalent hydrogen consumption minimization strategy's results. This ensures that the multi-stack fuel cell system operates as much as possible within the high-efficiency operating region.Through simulation validation using MATLAB/Simulink, the proposed approach comprehensively leverages the advantages of the state machine and equivalent hydrogen consumption. This approach enables effective identification of the high-efficiency operating region of fuel cells, while concurrently enhancing the operational range efficiency of the system, reducing hydrogen consumption, and elevating system stability. [ABSTRACT FROM AUTHOR]

Renewable energy systems are becoming more and more popular and used these days as a result of environmental, technical, and economic concerns. The reliable and optimal economic size of the system is the primary issue with the renewable energy-based power supply system for rural electrification. A new Zebra optimization algorithm (ZOA) is used for the optimal design and to perform the techno-economic performance analysis of the renewable energy-based off-grid power supply system with the stochastic load profile of Ethiopian rural communities. The components of the power supply system are modeled, the objective function is formulated, and optimization and techno-economic analysis are performed to get the minimum total annual cost of the hybrid system with the consideration of loss of power supply probability (LPSP), stochastic load profile and solar module optimal tilt angle. Three off-grid power supply systems, such as PV-BAT, PV-WT-BAT, and WT-BAT, are proposed to evaluate the optimal configuration for the study site at various LPSP. The study's findings showed that the photovoltaic-battery (PV-BAT) system, with an optimal size of 3483.161 kW of PV, 3668 units of storage batteries (11,444.160 kWh), and 2082 kW of converter at 0.044030% LPSP, is the best configuration for electrifying the rural communities of the study site with the minimum annual total cost of 621,736.056 USD and 0.227063 $/kWh COE. It results in a 3.3% annual total cost reduction and a 1.3% unmet load (kWh/year) improvement as compared to the PV-WT-BAT system. The performance of the proposed ZOA in obtaining the optimal size of the renewable energy-based power supply system for rural communities is evaluated by comparing it with the previous studies, gray wolf optimization (GWO) and HOMER Pro software, and it was found that the proposed algorithm is best at finding the optimal size of the power supply system at the minimum annual cost. The standard deviation for ZOA and GWO, respectively, in determining the optimal configuration value for 25 runs is 14.295 and 36.360 for the PV-BAT configuration, indicating that ZOA is more reliable than GWO in determining the optimal size. Furthermore, ZOA yields a 16.76% reduction in the total net present cost when compared to the HOMER software results. [ABSTRACT FROM AUTHOR]

ABSTRACT Planning is one of the most critical areas within Project Management, with adequate task scheduling and resource management being of vital importance, especially at the project's outset. This paper introduces an Artificial Intelligence designed for the automatic planning of photovoltaic plant (PV) construction projects, encompassing various tasks such as engineering, procurement, logistics, construction and commissioning, and including the substation and transmission line, scheduling a total of 100 tasks, which constitute a basic Engineering, Procurement and Construction project planning. The model is trained using a total of 50 real‐case project plans for PVs. The results demonstrate that the model successfully and effectively carries out photovoltaic project planning, marking a significant step towards digital transformation. [ABSTRACT FROM AUTHOR]

The growing global demand for clean, reliable, and affordable energy presents a critical challenge, especially with the need to reduce reliance on fossil fuels and minimize environmental impact. This article proposes a hybrid biomass and geothermal system to address these needs, providing a sustainable solution for hydrogen and electricity production while reducing peak demand. The system incorporates an ammonia synthesis cycle that captures nitrogen from the atmosphere, producing ammonia as a carbon-free energy source and a flexible energy storage alternative to costly, environmentally hazardous batteries. By applying a machine learning-optimized grey wolf algorithm, the system achieves 546.1 kg/day of ammonia production, 3224 kW of net power output, 43.7% energy efficiency, and a low Levelized Cost of Energy (LCOE) of 65.7 USD/MWh, with emissions of 130.9 g/kWh. Optimization further improves efficiency to 44.1%, reduces emissions to 127.1 g/kWh, and lowers costs to 63.4 USD/MWh. Exergy analysis identifies major areas of energy loss, offering pathways for future improvement. [Display omitted] • A novel hybrid system based on biomass and geothermal hybridization is introduced. • The system is integrated with the ammonia cycle driven by green hydrogen. • Machine learning-aided optimal energy management is proposed via Grey Wolf method. • The system generates 546 kg of ammonia daily as a promising energy career/storage. • Optimization achieves 2.3 USD/MWh and 3.8 g/kWh lower cost and emission. [ABSTRACT FROM AUTHOR]

Collecting electrophysiological (EP) signals (e.g., electrocardiogram (ECG), electromyogram (EMG)) during exercises is crucial for feedback of cardiac health and muscle injuries. However, since several interferences exist in the skin interface (e.g., deformation, perspiration, and motion artifacts), commercial rigid electrodes/systems have difficulty in recording high‐fidelity EP signals. Here, a wireless Nepenthes‐inspired hydrogel (NIH) hybrid system is developed for high‐quality EP signal detection by establishing seamless‐integrated and rapidly directional sweat‐wicking device/skin interfaces during exercises. The adhesive strength of poly(vinyl alcohol)/poly(acrylic acid) (PVA/PAAC)‐based double‐network hydrogels is significantly increased by more than sixfolds. Nepenthes‐inspired microstructures are further fabricated on hydrogels to enhance the directional transport speed of droplets by 4.5 times. Notably, the NIH electrodes can maintain an intimate coupling with the skin during continuous artificial sweat injection while showing the lowest impedance and highest signal‐to‐noise ratio (>19 dB) of EMG signals under complex conditions (i.e., vibration and perspiration). Finally, the NIH hybrid system is fabricated by decorating silicone joints and hollow structures to avoid stress concentration. This system can record high‐quality ECG waveforms and heart rate curves with relative deviations of <2.6% during exercises and rest. This NIH hybrid system represents a promising platform for precise EP signal monitoring in exercising scenarios. [ABSTRACT FROM AUTHOR]

This study presents the theoretical foundations of analogous electromagnetically induced transparency and absorption, which we refer to as coupling induced transparency (CIT) and absorption (CIA), respectively, along with an exploration of the transition between these phenomena. We provide a concise phenomenological description with analytical expressions for transmission spectra and dispersion, elucidating how the interplay of coherent and dissipative interactions in a coupled system results in the emergence of level repulsion (LR) and attraction (LA), corresponding to CIT and CIA, respectively. This theory comprehensively captures both the phenomena while modelling the microstrip line loaded resonators and their couplings systematically. The model is validated through numerical simulations using a hybrid system comprising a split ring resonator (SRR) and an electric inductive-capacitive (ELC) resonator in planar geometry. We analyse two cases while keeping the ELC parameters constant, one involving a dynamic adjustment of the SRR size with a fixed split gap, and the other entailing a varying gap while maintaining a constant SRR size. Notably, in the first case, the dispersion profile of the transmission signal demonstrates LR, while the second case results in LA, effectively showcasing CIT and CIA, respectively. These simulated findings not only align with the theoretical model but also underscore the versatility of our approach. Subsequently, we extend our model to a more general case, demonstrating that a controlled transition from CIT to CIA is achievable by manipulating the dissipation rate of individual modes within the hybrid system, leading to either coherent or dissipative interactions between the modes. Our results provide a pathway for designing hybrid systems that can control the group velocity of light, offering potential applications in the fields of optical switching and quantum information technology. [ABSTRACT FROM AUTHOR]

Countries in Africa rank the highest in low energy accessibility and air pollution globally. Presenting the urgent need to explore renewable energy sources to tackle the power challenge and reduce the carbon footprint for a greener atmosphere. A novel hybrid wind and solar renewable energy power system (HREPS) coupled to a battery that is capable of powering industrial appliances in the Basse district of The Gambia has been proposed. The HREPS size was estimated automatically with the PVsyst software taking into account the PV power and battery capacity based on the load profile and loss of load probability, with all the necessary meteorological, technical, and economic factors. The optimal size was possible with 20 photovoltaic modules (250 W) and 1 Wind generator (1 KW) compatible with the annual load requirement of about 2555 MWh. These results suggested that the HREPS is reliable for the user's load demand in all the tested meteorological conditions of the study area. When the HREPS is linked to any other renewable source, it shows the potential of gaining about 8395 kWh annually in the battery. The continuous operation of the hybrid system for 21 years presents a net gain of > 400% for the standalone systems with a projected gain of > 600% when linked to a small smart grid system. Since high taxes may scuttle these gains, it is recommended that the Government encourage investment in renewable energy power systems by subsidizing the taxes on the purchase of items to make them more affordable. [ABSTRACT FROM AUTHOR]

Floating offshore wind turbines (FOWTs) are highly susceptible to vibrations caused by wind and sea wave oscillations, necessitating effective vibration reduction strategies to ensure stability and optimal performance. This study investigates the effectiveness of a barge-type FOWT integrated with oscillating water columns (OWCs) in reducing oscillations, particularly in rotational modes. A hybrid FOWT-OWCs system was designed, and its vibration mitigation capabilities were assessed through both numerical simulations and experimental tests. The numerical approach focused on controlling airflow in the OWCs, while the experimental tests validated these results under similar conditions. A strong agreement between the simulations and experiments was observed, particularly in reducing platform pitch oscillations, even under irregular wave conditions. The open OWC-based platform outperformed the closed design, reducing pitch angle oscillations from 17.51° to 14.38° for waves with a 10-s dominant frequency. Benchmark tests confirmed this trend, with the open moonpool-based platform achieving a reduction from 18.41° to 12.23°. These findings demonstrate the potential of OWCs to improve the stability and performance of FOWTs, with experimental validation providing confidence in the numerical predictions. [ABSTRACT FROM AUTHOR]

Biaxial nematic liquid crystals are fascinating systems sometimes referred to as the Higgs boson of soft matter because of experimental observation challenges. Here we describe unexpected states of matter that feature biaxial orientational order of colloidal supercritical fluids and gases formed by sparse rodlike particles. Colloidal rods with perpendicular surface boundary conditions exhibit a strong biaxial symmetry breaking when doped into conventional chiral nematic fluids. Minimization of free energy prompts these particles to orient perpendicular to the local molecular director and the helical axis, thereby imparting biaxiality on the hybrid molecular-colloidal system. The ensuing phase diagram features colloidal gas and liquid and supercritical colloidal fluid states with long-range biaxial orientational symmetry, as supported by analytical and numerical modeling at all hierarchical levels of ordering. Unlike for nonchiral hybrid systems, dispersions in chiral nematic hosts display biaxial orientational order at vanishing colloid volume fractions, promising both technological and fundamental research utility. The study of nematic hosts with anisotropic colloidal particles is reported, but not on the chiral counterparts. Here, the authors report on biaxial properties in a system of colloidal rods with designed surface anchoring doped into a chiral nematic host. [ABSTRACT FROM AUTHOR]

This study focuses on the selection and evaluation of a kinetic model for the release of vitamin C from different delivery systems, including microcapsules, hydrogels, and a hybrid system combining both. The microcapsules were synthesized from a 2% sodium alginate solution and with vitamin C incorporated in selected formulations. Hydrogels were obtained through photopolymerization using poly(ethylene glycol) diacrylate and polyvinyl alcohol, with and without the addition of vitamin C. The hybrid system incorporated the vitamin C-containing microcapsules within the hydrogel matrix. Physicochemical properties, such as density, porosity, and water vapor transmission rate (WVTR), were evaluated. Kinetic studies of vitamin C release were conducted under dynamic and static conditions, and the experimental data were fitted to six different kinetic models: zero-order, first-order, second-order, Higuchi, Korsmeyer–Peppas, and Hixson–Crowell. The Higuchi and Korsmeyer–Peppas models provided the best fit for most systems, indicating that the release is predominantly controlled by diffusion and, in dynamic conditions, swelling of the matrix. The hybrid system, while exhibiting slower release than the microcapsules and hydrogel alone, demonstrated more controlled and sustained release, which is advantageous for applications requiring prolonged action. [ABSTRACT FROM AUTHOR]

This article presents an innovative approach for distinguishing replay attacks from faults in hybrid systems. To develop the idea at first, a novel technique for replay attack detection, which differentiates it from typical system faults, is introduced. This is achieved through a tactical combination of stochastic coding and a window‐based comparison mechanism, setting a new standard in hybrid system security. In the realm of fault detection, robust L2‐L∞ adaptive observers are employed for precise mode detection, allowing for an accurate assessment of the system's operational state. Additionally, robust H∞ Sliding Mode Observers are utilized to identify abnormal behaviours in the system's output, further solidifying the fault detection capabilities. A significant enhancement in the proposed approach is the integration of a Luenberger observer with the Butterworth low‐pass filter. This novel addition not only refines the filtering process but also contributes to the overall reliability and accuracy of the system. The efficiency and versatility of these methods are demonstrated through their application to a four‐tank hybrid system. This practical simulation showcases the adaptability of the approach to real‐world scenarios, highlighting its potential in diverse applications within the field of hybrid systems. [ABSTRACT FROM AUTHOR]

The application of fuel cell tractors is expected to drive technological upgrades and sustainable development in agricultural machinery. However, fuel cell hybrid systems face issues such as slow dynamic response, low efficiency, and short lifespan. This paper proposes an energy management strategy based on signal reconstruction methods, including Empirical Mode Decomposition (EMD) and Variational Mode Decomposition (VMD), to achieve optimal energy utilization and system efficiency based on frequency response characteristics. First, we collected data on the tractor's traction force and operating speed, and calculated the required traction power using a full-machine dynamics model built in MATLAB software. We conducted frequency response characteristic analysis of the fuel cell hybrid system based on EMD and VMD, establishing an energy management controller to sequentially meet the average power demand of the fuel cell under plowing load operations, the instantaneous acceleration power demand of the power battery, and the real-time compensation power demand of the supercapacitor. The results show that the EMD strategy exhibits good stability, while the VMD strategy performs better in terms of hydrogen consumption. Under the VMD strategy, the hybrid system achieves a maximum output efficiency of 55.0% with a total hydrogen consumption of 750 g. Compared to the EMD strategy, the maximum efficiency of the system increases by 27.31%, and hydrogen consumption decreases by 3.49%. This study provides a new theoretical foundation and technological route for the application of fuel cell hybrid systems in the field of agricultural machinery. [ABSTRACT FROM AUTHOR]

The potential for recovering the shear capacity of heat-damaged beams using carbon-fibre-reinforced polymer (CFRP) ropes was investigated using 12 concrete beams (150 × 250 × 1450 mm3) with shear reinforcement deficiency. Six beams were heated for 2 h at a temperature of 400°C; the others were not heated. All the beams were retrofitted with near-surface mounted CFRP ropes as external U-shaped stirrups, inserted in vertical holes (embedded through reinforcement) or implemented as a hybrid system of both. Lateral dowels were implanted in concrete along with schemes involving U-shaped stirrups to improve resistance against cover separation and shear failure, respectively. The mechanical behaviour of the beams was evaluated under three-point loading, with data collected and analysed to characterise the load–deflection relationships. Cracking and failure modes were analysed. For the heat-damaged beams, the adopted schemes restored load capacity and improved toughness and ductility, but not flexural stiffness. Moreover, implementing ropes as U-shaped external stirrups, terminating 20 mm below the top surface of the beams, helped avert side-cover separation, yet resulted in horizontal shear failure at the level of the upper concrete cover of the damaged beams. The residual strain induced in the U-shaped external stirrups was 14–40%, which is compatible with those reported in other works adopting similar repair methodologies. [ABSTRACT FROM AUTHOR]

This paper presents new method for traceability assurance of measurements performed using hybrid measuring systems built using one system that is based on tactile point measurement method (for example: coordinate measuring machine, articulated arm coordinate measuring machine, laser tracker system) and the second one that is based on optical field measurement method (for example: structured light scanners, digital image correlation systems). Within works described in this paper a series of tests aimed at determining task-specific errors for measurements performed using such composed systems were run. Measurement tasks for which such errors were determined include length measurements and measurements of form deviations (roundness, flatness, etc). Measurements were performed using material standards representing various shapes, dimensions and geometric relations. Measurements were run in different orientations and positions of the standards. Types of standards along with orientations and positions used were chosen basing on the guidelines of the ISO 10360 standard, parts 2, 5, 7, 8, 9, 10, 12, VDI/VDE 2634 and longtime experience of authors of this paper. At the end, results of performed measurements were checked for consistency with results of material standards calibration and values of task- specific maximum permissible errors were established. Guidelines for using developed method in other hybrid systems were also presented in the paper. [ABSTRACT FROM AUTHOR]

Magnesium‐based batteries have garnered significant attention due to their high energy density, excellent intrinsic safety, and low cost. However, the application process has been hindered by the high Mg2+ ions diffusion barrier in solid‐state structures and solid‐liquid interphase. To address this issue, a hybrid battery technology based on Mg anode and Fe‐based Prussian Blue Analogue cathode doped with functional transition metal ions and N═O bonds is proposed. Combined multiscale experimental characterizations with theoretical calculations, the subtle lattice distortion can create an asymmetric diffusion path for the active ions, which enables reversible extraction with significantly reduced diffusion barriers achieved by synergistic doping. The optimized cathode exhibits a working potential of 2.3 V and an initial discharge capacity of 152 mAh g−1 at 50 mA g−1. With the preferred electrolyte combined with equivalent concentration [Mg2(µ‐Cl)2(DME)4][AlCl4]2 and NaTFSI salt solution, the hybrid system demonstrates superior cycling performance over 200 cycles at a high current density of 200 mA g−1, maintaining ≈100% coulombic efficiency with superior ion dynamic. The findings are expected to be marked an important step in the further application of high‐voltage cathodes for Mg‐based hybrid batteries. [ABSTRACT FROM AUTHOR]

Due to the increasing demand for fossil fuel resources in modern society, attention is turning towards alternative sources. This paper firstly introduces the importance of the oxidation reaction of 5-hydroxymethylfurfural (HMF) and its widespread application in the field of biomass conversion. However, precise control over the selective oxidation of biomass-derived platform chemicals remains challenging, necessitating in-depth investigation into the mechanism of this oxidation process. Subsequently, the mechanism of the HMF oxidation reaction is discussed in detail, including the design and performance optimization of both traditional and novel catalysts, aiming to provide theoretical guidance and technical support for efficient and selective HMF oxidation. In the field of photocatalysis, strategies such as the introduction of photoresponsive catalysts, surface modification, and synergistic catalysis have been employed to enhance reaction rates and selectivity. In electrocatalysis, efficient conversion of HMF has been achieved through the modulation of catalyst structure and active sites. Meanwhile, photoelectrocatalysis hybrid systems, as emerging technologies integrating the advantages of both photocatalysis and electrocatalysis, demonstrate promising application prospects, with an overview of their research in HMF oxidation provided herein. Furthermore, the paper discusses the challenges faced by current selective HMF oxidation, including catalyst stability, selectivity, and product distribution, and proposes future research directions and prospects, including the design of multifunctional catalysts, optimization of reaction conditions, and in-depth exploration of catalytic mechanisms, to provide important references for achieving efficient biomass conversion. In summary, this paper systematically summarizes the latest research progress in selective photocatalysis, electrocatalysis, and photoelectrocatalysis for HMF oxidation, and provides prospects for future development, aiming to offer references and insights for relevant research fields. [ABSTRACT FROM AUTHOR]

This research presents a robust optimization of a hybrid photovoltaic-wind-battery (PV/WT/Batt) system in distribution networks to reduce active losses and voltage deviation while also enhancing network customer reliability considering production and network load uncertainties. The best installation position and capacity of the hybrid system (HS) are found via an improved crow search algorithm with an inertia weight technique. The robust optimization issue, taking into account the risk of uncertainty, is described using the gap information decision theory method. The proposed approach is used with 33- and 69-bus networks. The results reveal that the HS optimization in the network reduces active losses and voltage variations, while improving network customer reliability. The robust optimization results show that in the 33-bus network, the system remains resilient to prediction errors under the worst-case uncertainty scenario, with a 44.53% reduction in production and a 22.18% increase in network demand for a 30% uncertainty budget. Similarly, in the 69-bus network, the system withstands a 36.22% reduction in production and a 16.97% increase in load for a 25% uncertainty budget. When comparing stochastic and robust methods, it was found that the stochastic Monte Carlo method could not consistently provide a reliable solution for all objectives under uncertainty, whereas the robust approach successfully managed the maximum uncertainty related to renewable generation and network demand across different uncertainty budgets. [ABSTRACT FROM AUTHOR]

This study presents an innovative approach to fabricating carbon nanotubes (CNTs) through magnetron sputtering and chemical vapor deposition (CVD). These CNTs serve as a robust structural scaffold for the deposition of molybdenum, which, through thermal annealing, becomes molybdenum carbide (Mo 2 C), which is highly efficient for hydrogen evolution reaction (HER). Our investigation delves into the physical and chemical attributes of these electrodes, revealing insights into the functionality of Mo 2 C on CNTs hybrid structures. Chemical characterization confirms the exceptional performance of the electrode. Our Mo 2 C on CNT hybrid system showcases remarkable electrocatalytic activity, with an onset potential of 103 mV at 1 mA/cm2 and an overpotential of 176 mV at 10 mA/cm2. Further validation comes from tests revealing a Tafel slope of 95 mV/dec, affirming its superiority in facilitating HER. Unparalleled combination of low charge transfer resistance and accelerated reaction kinetics, Mo 2 C on CNTs hybrid structure is poised to significantly enhance HER activity. [Display omitted] • Fabrication of hierarchical compound of Mo 2 C deposited on CNTs as binder-free electrodes. • In-situ carburization of Mo by C species provided by CNTs template. • Enhanced HER activity, demonstrated by a ∼220 mV decrease in required overpotential. [ABSTRACT FROM AUTHOR]

This research investigates a sustainable and renewable mobile energy system designed for electricity production, hydrogen generation, and seawater desalination. It targets critical energy and freshwater needs during disaster scenarios, particularly in island nations and coastal cities where infrastructure may be compromised. The system integrates advanced technologies, including wind turbines, photovoltaic panels, solar collectors, and reverse osmosis units, all mounted on a green ship. Simulations using Engineering Equation Solver software indicate that in July, the system can produce 2,201,865 MJ of electricity, 7252 kg of hydrogen, and 3456 tons of fresh and hot water. This output can power 1072 electric vehicles and 1284 hydrogen-powered vehicles while supplying cold water to 57,600 people and hot water to 5760 people. By relying on renewable energy, the system prevents approximately 43,543 kg of carbon emissions in July. The total monthly economic value is estimated at $47,241.36, demonstrating its potential as a sustainable solution for disaster response and coastal communities. [Display omitted] • Hydrogen generation of the combined hybrid renewable system. • Thermodynamic efficiencies of components and overall the system for a green ship. • The comparison of the power generation of the wind turbine, Organic Rankine Cycle, and solar cell. • The monthly carbon saving quantity of the renewable hybrid system. [ABSTRACT FROM AUTHOR]

Hydrogen has become an essential element in the pursuit of sustainable and clean energy solutions. Especially with the fast-paced advancement in demand, supply, and policy environment, its impact on hybrid renewable energy (HRE) management is becoming increasingly relevant. Efficient energy consumption, cost reduction, and enhanced user comfort are now critical factors in energy optimization. The production of green hydrogen, which is generated through water electrolysis using renewable energy sources (RES), has shown great potential as a sustainable energy solution. It offers several advantages, such as zero greenhouse gas emissions, high energy density, and versatile applications. This paper presents a detailed study on the power management and control of a hybrid renewable system (HRES) equipped with a diesel generator (DG) as a backup power source. The main objectives of the hybrid system are to satisfy the load power demand, ensure the most efficient use of the HRES, and keep the battery bank charged to prevent blackouts and extend the battery's life. To guarantee the system's reliability, the DG should be sized to meet the peak load demand when the RES generates less electricity than the load demand. This study explores the feasibility of modified versions of the load following and cycle charging control strategies to overcome the limitations of managing generation and storage systems' operations in different operating modes and to enhance the performance of an HRES with a DG that supplies electricity to a small and remote location. The proposed method not only maximizes the use of RES production but also enables multi-energy source management under different power generation and load demand scenarios. The study's outcomes demonstrate the feasibility of this proposed power dispatch strategy in a remote location environment. The paper includes a detailed discussion of overall control, mathematical models, energy storage in the battery model, and energy dispatching based on load following. To design and simulate the hybrid model system, MATLAB-SIMULINK is used, and the results are analyzed to identify the appropriate operation requirements, component selection, and energy management of the hybrid renewable energy system. [ABSTRACT FROM AUTHOR]

The strength and permeability to gas of ceramic shells are key factors affecting the quality of castings. This research aims to improve the properties of alumina-based ceramic shells (i.e., Al 2 O 3 and SiO 2) using a combination of pennisetum fiber and AlF 3 •3H 2 O powder. The pennisetum fiber can improve the green strength of ceramic shells, while AlF 3 •3H 2 O powder can improve the high-temperature strength of ceramic shells by inducing the generation of mullite (3Al 2 O 3 •2SiO 2) whiskers at high temperatures. Meanwhile, the mixture of pennisetum fibers and mullite whiskers can also improve the permeability to gas of the ceramic shell. As a result, the modified ceramic shell shows a clear increase in the above-mentioned properties, including 43 % of the green strength, 100 % of the permeability to gas, and 30 % of the thermal diffusion coefficient. In addition, the high-temperature bending strength and deformation under the weight of the ceramic shells are also obtained. [ABSTRACT FROM AUTHOR]

The surge in online shopping has dramatically increased the demand for short-term curb access for package pickups and deliveries, leading to heightened competition for limited curb space. This paper addresses the problem of how the unique parking demand of deliverers, particularly their parking duration for delivery attempts linked to parking space availability, affects the dynamics of urban curb parking systems. We develop continuum models of a curb parking system and perform analytical analyses to understand the dynamics and steady-state properties of the system under the influence of increased urban deliveries. We conduct comparative statics to examine how various curb management measures, such as pricing, parking duration caps, and dedicated delivery bays, influence the equilibrium conditions, followed by comparisons of the theoretical capacity of these measures. We further demonstrate the working mechanism of delivery bays and their role in forestalling specific failures within a hybrid system with both general parkers and deliverers. Finally, we investigate curb management strategies in nonstationary operational contexts and prescribe the optimal strategies therein. Our findings offer valuable insights into the unique properties that deliverers introduce to curb parking dynamics, highlighting the need for a strategic reevaluation of current management practices. We find that pricing strategies for metered parking to general parkers prove to be more efficient and flexible compared with other interventions. Notably, our analysis suggests that when curb parking pricing is optimally calibrated, the necessity for dedicated delivery bays diminishes. Furthermore, we reveal that optimal curb management strategies could diverge in response to surges in demand, depending on whether the increase sources from general parkers or deliverers. To be effective, the sizing of delivery bays must align with the underlying causes of parking scarcity. History: This paper has been accepted for the Transportation Science Special Section on ISTTT25 Conference. Funding: This work was supported by the George Washington University [University Facilitating Fund]. Supplemental Material: The online appendices are available at https://doi.org/10.1287/trsc.2024.0569. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to produce a superhydrophobic fabric surface with a layered rough structure and which are resistant to droplet adhesion. Polydimethylsiloxane (PDMS) systems doped with stearic acid modified titanium dioxide (SA-TiO2) nanoparticles was sprayed onto the surface of cotton fabric. Design/methodology/approach: This experiment therefore uses a simple method to prepare superhydrophobic textiles by spraying SA-TiO2 particles mixed with PDMS onto the surface of cotton fabrics. The effects of the ratio of stearic acid to TiO2, spraying times and tension on the apparent morphological structure and hydrophobic properties of the cotton fabric were investigated. Findings: The results showed that the stearic acid-modified TiO2 nanoparticles were hydrophobic and more uniformly dispersed in the PDMS solution. When the modification ratio of stearic acid to TiO2 was 3:5, the water contact angle of cotton fabric was 155.48° and sliding angle was 6.67° under the applied tension for three times of spraying, showing superhydrophobicity. The fabric shows super hydrophobic and anti-adhesive properties to a wide range of liquids such as cola, dyeing liquids, tea, milk and simulated blood. The surface tension of the liquid shows a negative correlation with its adhesion to the fabric. Research limitations/implications: The SA-TiO2 and PDMS were applied to the fabric surface by spraying, which not only gave the fabric superhydrophobic properties, but also created anti-adhesion to a wide range of droplets. Practical implications: The superhydrophobic cotton fabrics prepared by this method showed good anti-adhesive behavior to common stains and simulated blood and can be used in the development of medical protective textiles. Originality/value: Modification of TiO2 with stearic acid to prepare SA-TiO2 with excellent hydrophobic properties, which was mixed with PDMS to make suspensions. Fluorine-free superhydrophobic fabrics were prepared by spraying method. It also exhibited excellent anti-adhesive properties against blood, providing a reference for the preparation of self-cleaning and anti-adhesive surgical gowns. [ABSTRACT FROM AUTHOR]

Perovskite quantum dots (pQDs) have gathered a lot of attention because of their outstanding optoelectronic properties. Photoswitchable pQDs have the potential for application in single particle optical memories and bio-imaging. Hybrids of photochromic diarylethenes (DAE) and pQDs show a luminescence photoswitching property, however, the cycle stability in such systems is low because of photoinduced electron transfer (PET) from pQDs to DAE. In this study, various hybrids of DAEs and pQDs with different spacer lengths between the pQD donors and DAE acceptors were synthesized and their stability towards multiple cycles of luminescence photoswitching was evaluated. It was found that the electron transfer pathway can be blocked and very stable switchable hybrids can be produced when the distance between the donors and acceptors was long enough. Furthermore, the effect of softness of the basic ligands and the synthesis method of the pQDs on the cycle stability of the hybrids were investigated. The findings of this study suggest that the photoswitching stability can be improved in hybrid systems by proper molecular design of the photochromic molecule. [ABSTRACT FROM AUTHOR]

Modern polymer‐based technical components not only have to fulfill demanding mechanical‐structural properties but need to integrate different functions to yield hybrid systems for complex operations. Typically, neither materials nor processing technologies are fully compatible with each other. The aim of the work is to combine the advantages of seemingly incompatible manufacturing processes such as high‐volume injection molding (IM) and precision additive manufacturing to produce functional and customized hybrid materials. IM is widely used for polymer processing but stands against high investment costs for tailor‐made molds with high‐resolution features. They focus on overprinting of injection‐molded parts made of thermoplastic polyurethane (TPU) with microstructures via projection‐microstereolithography (PµSL) to generate hybrid polymer materials with spatially tailored stiffness, enabling selective reinforcement, resulting in an E modulus increase of 195% compared to mere IM‐processed TPU. With that, the hybridization of processing methods is showcased to extend the product properties of polymer materials obtained via either IM or PµSL printing that have, prospectively, a maximum degree of individualization as well as a multitude of structural and functional features at the same time. To achieve optimum interfacial adhesion, the influence of surface roughness is studied, and reinforcement effects of different overprinted microstructure types are evaluated. [ABSTRACT FROM AUTHOR]

A scheme is proposed to enhance quantum correlation, including entanglement and steering, for two magnon modes in a cavity‐magnon hybrid system through coherent quantum feedback. The hybrid system consists of a microwave cavity and two YIG spheres, which incorporates a nonlinear flux‐driven Josephson parametric amplifier in order for the generation of two photons within the cavity simultaneously. A quantum coherent feedback loop is used for the reduction of effective dissipation. By modulating feedback parameters, optimal bipartite and tripartite entanglement, as well as quantum steering are derived. Importantly, compared with the same setup without coherent feedback, the proposed scheme significantly improves quantum correlation. Furthermore, by optimizing the feedback reflectivity and the ratio of cavity‐magnon coupling strength, the enhancement of asymmetric steering can be controlled. Notably, incorporating the feedback loop effectively increase its robustness against thermal noise, thus the scheme offer better prospect for experimental development. This study paves the way for advancements in quantum information processing and quantum entanglement within cavity‐magnonics. [ABSTRACT FROM AUTHOR]