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Introducing defects in photonic crystals is a common method for manipulating and controlling the propagation of electromagnetic waves. By introducing defects in photonic crystal waveguides, the periodicity of the waveguide structure can be disrupted, local modes can be formed, and resonant cavity functions can be achieved. In this study, we designed two groups of two-dimensional valley photonic crystal waveguides, each of which uses different methods to introduce defects and obtained different resonant cavity structures, and designed a resonant cavity sensor. We conducted a detailed theoretical analysis of the resonant cavity through simulation software. In addition, we fabricated the samples and conducted microwave experiments to demonstrate the accuracy of our theoretical research. Our research provides guidance for the application of photonic crystal devices. [ABSTRACT FROM AUTHOR]

Sire is a Python/C++ library that is used both to prototype new algorithms and as an interoperability engine for exchanging information between molecular simulation programs. It provides a collection of file parsers and information converters that together make it easier to combine and leverage the functionality of many other programs and libraries. This empowers researchers to use sire to write a single script that can, for example, load a molecule from a PDBx/mmCIF file via Gemmi, perform SMARTS searches via RDKit, parameterize molecules using BioSimSpace, run GPU-accelerated molecular dynamics via OpenMM, and then display the resulting dynamics trajectory in a NGLView Jupyter notebook 3D molecular viewer. This functionality is built on by BioSimSpace, which uses sire's molecular information engine to interconvert with programs such as GROMACS, NAMD, Amber, and AmberTools for automated molecular parameterization and the running of molecular dynamics, metadynamics, and alchemical free energy workflows. Sire comes complete with a powerful molecular information search engine, plus trajectory loading and editing, analysis, and energy evaluation engines. This, when combined with an in-built computer algebra system, gives substantial flexibility to researchers to load, search for, edit, and combine molecular information from multiple sources and use that to drive novel algorithms by combining functionality from other programs. Sire is open source (GPL3) and is available via conda and at a free Jupyter notebook server at https://try.openbiosim.org. Sire is supported by the not-for-profit OpenBioSim community interest company. [ABSTRACT FROM AUTHOR]

We study heat exchange in temperature-biased metal–molecule–metal molecular junctions by employing the molecular dynamics simulator LAMMPS. Generating the nonequilibrium steady state with Langevin thermostats at the boundaries of the junction, we show that the average heat current across a gold–alkanedithiol–gold nanojunction behaves physically, with the thermal conductance value matching the literature. In contrast, the full probability distribution function for heat exchange, as generated by the simulator, violates the fundamental fluctuation symmetry for entropy production. We trace this failure back to the implementation of the thermostats and the expression used to calculate the heat exchange. To rectify this issue and produce the correct statistics, we introduce single-atom thermostats as an alternative to conventional many-atom thermostats. Once averaging heat exchange over the hot and cold thermostats, this approach successfully generates the correct probability distribution function, which we use to study the behavior of both the average heat current and its noise. We further examine the thermodynamic uncertainty relation in the molecular junction and show that it holds, albeit demonstrating nontrivial trends. Our study points to the need to carefully implement nonequilibrium molecular dynamics solvers in atomistic simulation software tools for future investigations of noise phenomena in thermal transport. [ABSTRACT FROM AUTHOR]

We present a program package for the simulation of ultrafast vibration-induced autoionization dynamics in molecular anions in the manifold of the adiabatic anionic states and the discretized ionization continuum. This program, called HORTENSIA (Hopping Real-time Trajectories for Electron-ejection by Nonadiabatic Self-Ionization in Anions), is based on the nonadiabatic surface-hopping methodology, wherein nuclei are propagated as an ensemble along classical trajectories in the quantum-mechanical potential created by the electronic density of the molecular system. The electronic Schrödinger equation is numerically integrated along the trajectory, providing the time evolution of electronic state coefficients, from which switching probabilities into discrete electronic states are determined. In the case of a discretized continuum state, this hopping event is interpreted as the ejection on an electron. The derived diabatic and nonadiabatic couplings in the time-dependent electronic Schrödinger equation are calculated from anionic and neutral wavefunctions obtained from quantum-chemical calculations with commercially available program packages interfaced with our program. Based on this methodology, we demonstrate the simulation of autoionization electron kinetic energy spectra that are both time- and angle-resolved. In addition, the program yields data that can be interpreted easily with respect to geometric characteristics, such as bonding distances and angles, which facilitate the detection of molecular configurations important for the autoionization process. Furthermore, several useful extensions are included, namely, tools for the generation of initial conditions and input files as well as for the evaluation of output files, all of this both through console commands and a graphical user interface. [ABSTRACT FROM AUTHOR]

This paper presents a generalized approach for rapid prediction of scallop height distributions. This methodology introduces the theory of mesh surface conformal mapping, effectively reducing the complexity of scallop height distributions prediction through dimension reduction from 3D space to a 2D parameter domain. It can predict scallop height distributions consistent with the order of cutter contact (CC) points, making it suitable for any type of toolpaths. Building upon this foundation, a novel method for generating supplemental machining toolpaths on intricate surfaces is further elaborated. This innovative method proficiently eliminates uncut regions that are often overlooked during toolpath generation, enhancing machining accuracy and efficiency without compromising on toolpath intervals. Finally, the validity and practicality of the proposed methods are rigorously verified through a combination of simulation and actual machining experiments. The experimental outcomes reveal that, when compared to prevalent commercial machining simulation software, the rapid prediction method introduced in this paper achieves a noteworthy improvement in calculation efficiency by approximately 50%. Furthermore, in contrast to the conventional strategy of enhancing toolpath accuracy by narrowing intervals, the supplementary toolpath generation method presented herein achieves a significant reduction in toolpath length by over 25%. This approach significantly augments the applicability and flexibility of toolpath optimization; it has important potential and value for improving the efficiency and accuracy of milling intricate surfaces. [ABSTRACT FROM AUTHOR]

• An atmospheric corrosion model of clearance joint is developed based on COMSOL simulation software. • A dynamic modeling and analysis method for ALGRM considering atmospheric corrosion is explored. • The effects of corrosion time and different bearing materials on ALGRM are investigated. • The dynamic behavior and nonlinear characteristics of ALGRM are discussed. Atmospheric corrosion poses a significant challenge for the components of aircraft exposed to prolonged harsh weather conditions, critically impacting the safety property of aircraft landing gear retraction mechanism (ALGRM). This paper focuses on the ALGRM of a specific aircraft type, presenting a new modeling and analysis approach to assess the influence of atmospheric corrosion on dynamic behavior and nonlinear characteristics of mechanism. Initially, the dynamic model of ALGRM incorporating clearance joints is established using Lagrangian method. Numerical solutions are then obtained using the Runge-Kutta method. Subsequently, COMSOL simulation software is employed to simulate the corrosion morphology of the bearing under atmospheric corrosion, integrating the corroded bearing surfaces into the dynamic model of the mechanism. Finally, the study investigates the effects of corrosion time and different bearing materials on the dynamic behavior and nonlinear characteristics of ALGRM considering atmospheric corrosion. The results indicate that as corrosion time increases, the degradation of the dynamic behavior of ALGRM becomes more pronounced, and there are significant variations for corrosion morphology of bearing made of different materials under atmospheric corrosion. The findings of this study contribute to a broader understanding of the complex interactions between the dynamic behavior of aircraft and environmental degradation, providing some insights for designing ALGRM that are more durable and adaptable to atmospheric corrosion environments. [ABSTRACT FROM AUTHOR]

Due to the typically high flow rate of nozzles on large sprinkler machines, direct use for pesticide application can lead to pesticide waste and non-point source pollution. To fulfill the multifunctional needs of large sprinkler machines for irrigation, fertilization, and pesticide application, this study installed atomizing micro-sprinklers on the machines to enable their pesticide application capabilities. Based on the spraying patterns of the atomizing micro-sprinklers, three types were selected for this study: hollow cone, solid cone, and fan-shaped micro-sprinklers. Three working pressure levels were set at 0.2 MPa, 0.3 MPa, and 0.5 MPa, with the height of the micro-sprinklers above the ground set at three levels: 0.8 m, 1.2 m, and 1.5 m. A completely randomized design was used for the experiment, which included hydraulic performance tests and software simulation. The results indicated that the spray volume of the hollow cone, solid cone, and fan-shaped atomizing micro-sprinklers approximately presented a hollow conical, solid conical, and normal distribution, respectively. The spray intensity (average and maximum values) of the atomizing micro-sprinklers increased with the increase in pressure, while the median showed an initial increase followed by a decrease as pressure increased. Under the same pressure conditions, the spray intensity of the different atomizing micro-sprinklers decreased with the increase in height above the ground, while the spray width increased with height. By comparing the spraying characteristics of micro-sprinklers with various patterns, large sprinkler machines can select atomizing micro-sprinklers in different spraying statuses according to actual conditions and determine the optimal height of the atomizing micro-sprinklers above the ground to achieve efficient and uniform pesticide application effects. This reduces the evaporation and drift loss of liquid medicine. The research findings provide a scientific basis for achieving the pesticide application function of large sprinkler machines and expanding their usage capabilities. [ABSTRACT FROM AUTHOR]

Weak gravitational lensing simulations serve as indispensable tools for obtaining precise cosmological constraints. In particular, it is crucial to address the systematic uncertainties in theoretical predictions, given the rapid increase in galaxy numbers and the reduction in observational noise. Both on-the-fly and post-processing methods for constructing lensing light-cones encounter limitations due to the finite simulated volume, necessitating the replication of the simulation box to encompass the volume to high redshifts. To address this issue, our primary focus lies on investigating and quantifying the impact of box replication on the convergence power spectrum and higher order moments of lensing fields. Subsequently, a univariate model is utilized to estimate the amplitude parameter A by fitting four statistics measured from partial sky light-cones along specific angles, to the averaged result from random directions. The investigation demonstrates that the systematic bias stemming from the box replication phenomenon falls within the bounds of statistical errors for the majority of cases. However, caution should be exercised when considering high-order statistics on a small sky coverage (⁠|${\lesssim} 25~\mathrm{deg^2}$|⁠). For this case, we have developed a code that facilitates the identification of optimal viewing angles for the light-cone construction. This code has been made publicly accessible at https://github.com/czymh/losf. [ABSTRACT FROM AUTHOR]

Practical approaches have become a standard in many scientific disciplines, including population genetics. By analysing properly selected datasets, students can calculate parameters and draw conclusions about genetic diversity, differentiation and evolution of populations with higher efficiency than if based exclusively on theoretical lessons. However, preparing the appropriate datasets is a hard task and a wrong selection can spoil a well-intended activity. Here we present SimHyb 2, a software tool specifically intended to support a full understanding of evolutionary forces by students and to help the teacher to prepare adequate datasets and examples for practice. It simulates the course of a mixed population under user-defined reproductive and evolutionary conditions, providing fully traceable pedigrees of individuals. SimHyb2 is specifically intended for the analysis of long-term hybridisation and introgression, covering a gap in the software available to date. Outputs can be easily adapted for downstream analysis with other popular tools as GenAlEx or Structure. Thus, SimHyb 2 is very suitable for project-based-learning approaches: students can produce their own datasets in different scenarios of genetic drift, migration, selective advantage, and reproductive success. Satisfactory results from its ongoing utilisation in higher education and research are reported. [ABSTRACT FROM AUTHOR]

The Super Charm-Tau (SCT) Factory project is actively developing in Budker Institute of Nuclear Physics, Novosibirsk. This paper presents the SCT Detector offline software framework Aurora components, status and future prospects. [ABSTRACT FROM AUTHOR]

Monopterus albus is one of the popular aquatic fish in Asia. Manual processing of eel cannot fully meet the large- scale production at present, due to the time-consuming, laborious, and low safety. In view of its slender and slimy body, an eel- cutting machine is required for the consumption of Monopterus albus. In this study, a miniature machine of automatic cutting was designed for the living Monopterus albus with a sticky surface. The machine consisted of conveying, clamping, and cutting parts. The double-clamped wheel to roller was used to capture the eel for transportation during cutting. The switch between laparotomy and back dissection was realized to change the feeding channel. The adaptive mechanism was equipped to meet the requirements of different sizes of eel cutting. Firstly, the geometry and weight parameters of Monopterus albus were measured using a straight ruler and precision electronic balance. The tribological parameters on the surface of Monopterus albus were measured by the inclined plane. The mechanical parameters of Monopterus albus meat were verified by compression test. Secondly, according to the rigid-flexible coupling principle, the rigid-damping model was equivalent to the contact between the Monopterus albus body and the clamping wheel and slide. The rigid-flexible coupling model was established by Abaqus and Adams simulation software. The analysis model was optimized to take the conveying time of the fish body, output speed, clamping force, and whole machine vibration as the test indexes in single-factor tests, such as the spring stiffness, slope Angle of the slide, and the speed of the clamping wheel. The results show that the clamping force first increased and then decreased with the increase of spring stiffness and the vibration amplitude of the whole machine decreased. But there was little influence on conveying time and output speed. The output time of the fish body decreased with the increase of slope angle, while the output speed, clamping force, and vibration of the whole machine increased. There was an increase in the conveying time of the fish body, the output speed, the clamping force, and the vibration of the whole machine, with the increase of the speed of the clamping wheel. The single- and multi-factor analyses were carried out to obtain the optimal working conditions. Specifically, the clamping wheel speed was 600 r/min, the spring stiffness was 1 200 N/m, and the slope angle was 16°. Finally, the processing experiment was performed on the automatic cutting machine for eel. There was consistency in the vibration amplitude range and the relationship between the three directions of the machine measuring points with the theoretical analysis. At the same time, the output speed of the fish body output machine was also measured to better agree with the theoretical analysis. The cutting of the machine under optimal working conditions has fully met the requirements. The correctness of the theoretical analysis was also verified by the test. The rigid-flexible coupling model can provide a strong reference to research and develop the subsequent equipment. [ABSTRACT FROM AUTHOR]

The coring data in high water‐cut oilfields indicates that the reservoir permeability will change continuously with water flooding, while the existing reservoir numerical simulation software cannot consider the time‐varying phenomenon of permeability. With the enhancement of reservoir heterogeneity, the near‐wellbore profile control fails to stabilize the oil production and control the water cut. The in‐depth profile control has been widely used in oilfields as a new technology, and the types of profile control agents are diverse, with a complex mechanism that cannot be effectively described by the existing conventional numerical simulation software. Considering these two phenomena comprehensively, a new three‐dimensional, three‐phase, six‐component mathematical model that can take into account the time‐varying phenomenon of reservoir permeability is proposed for a new kind of in‐depth profile control system, namely, the core–shell coagulation system, and an integrated numerical simulation software is developed. The mechanism of the in‐depth profile control system can be perfectly demonstrated in the simulator with time‐variation of permeability. The results of sensitivity analysis show that the effect is influenced by three factors: the mix slug injecting concentration, the coagulant aid slug volume, and the concentration of the suspension dispersing agent. [ABSTRACT FROM AUTHOR]

The nuclear electromagnetic pulse (NEMP) is a pulsed electromagnetic wave generated by the prompt gamma emitted from a nuclear explosion. In the 1970s, Longley and Longmire proposed a simulation method for the NEMP, which has been widely used in the NEMP simulation such as the widely used code CHAP. Constrained by the computational capabilities of the time, the CHAP program relied on numerous assumptions, which have been scrutinized in recent years. In addition to the CHAP method, in 2016, Friedman et al. proposed the idea of constructing a NEMP program based on the Particle‐in‐Cell (PIC) method. The PIC method not only accurately simulates the dynamics of electrons but also self‐consistently simulates the influence of pulsed electromagnetic fields on electrons, and requires fewer assumptions. Unfortunately, due to the excessively computational consuming of the PIC method, Friedman et al. couldn't simulate the full‐scale NEMP spanning tens of kilometers. In this paper, we present the first full‐scale simulation program for the NEMP based on the PIC‐fluid coupling method. By utilizing the moving window method, double‐grid methods and linked list storage techniques, we significantly reduce the computational consuming. Additionally, a mixed scattering collision method is used to efficiently simulate elastic collisions between Compton electrons and atmospheric molecules. Detailed discussions of the relevant simulation results are also provided. Plain Language Summary: Recently, we developed a simulation program for NEMP (Nuclear Electromagnetic Pulse) using the Particle‐in‐Cell (PIC) method to model Compton electron motion and the swarm method for conduction electron motion. This program, named EMPPIC (Electromagnetic Pulse via Particle in Cell), is the first full‐scale NEMP simulation tool based on the PIC method. To overcome computational challenges faced by previous researchers using the PIC method, the program incorporates a moving window approach and a linked‐list storage technique. Additionally, to address numerical dispersion issues encountered when solving Maxwell's equations with the FDTD method, we employ a dual‐grid system: a coarser grid for simulating electron motion and a finer grid for solving the electromagnetic field. Information exchange between the current and electromagnetic fields is achieved through interpolation between these two grids, effectively mitigating dispersion effects while keeping the computational demands manageable. Key Points: This program named EMPPIC is the first full‐scale simulation program for the NEMP based on the PIC methodThe profile of average energy of conduction electrons lags behind the migration speed, indicating the presence of a thermalization processIf only considering small‐angle scattering, the amplitude would be overestimated by approximately 13%, consistent with previous research [ABSTRACT FROM AUTHOR]

The "pile–wall" structure, which considers conventional temporary retaining piles as parts of the underground structure in the normal working stage, has been practiced, but there are insufficient studies on the optimization of the design of the "pile–wall" structure and the influence of various factors on the structural stresses and deformations. In order to analyze the factors affecting the stresses and deformations of the "pile–wall" structure, the numerical simulation of the "pile–wall" structure was carried out with the help of finite element simulation software Plaxis 3D through the excavation of Wuhan Optics Valley Center City Distributed Energy Project. The research of stresses and displacements on the "pile–wall" structural under the influence of different factors were carried out. The results show that the number of pile–wall connection nodes, the pile–wall thickness ratio, and the pile–wall stiffness ratio have influences on the stresses and deformations of the "pile–wall" structure. The number of connection nodes which is 4, the pile–wall thickness ratio which is 1 : 0.3, and the pile–wall stiffness ratio which is 1 : 1 are the most reasonable for the deformation and force of pile–wall structure in the project. The research results have good reference and guiding significance for the actual "pile–wall" excavation engineering structure, and the purpose of energy‐saving and consumption‐reducing construction can be achieved by seeking the reasonable values of the three and optimizing the construction program. [ABSTRACT FROM AUTHOR]

Geotechnical safety analysis relies on numerical simulations capturing interacting physical phenomena. Systematic model development and selection are vital for interpretable results without black‐box aspects. Interpretability implies that models can be checked for plausibility and consistency as a whole and in terms of individual components by the handling engineers. This contribution discusses the following three related aspects: (1) confidence‐building through embedding process models in a complexity hierarchy that ensures physical consistency among its members and provides an avenue for software testing and confidence building; (2) combining probabilistic engineering analyses with such model hierarchies to allow selection of the most appropriate process model given a set of experimental data while avoiding overfitting and (3) separating distinct model aspects both technically and logically for reproducibility, efficiency and quality assurance of simulation software. The latter aspect is illustrated based on the example of a material model database that can be linked to different process codes. [ABSTRACT FROM AUTHOR]

Engine abnormal noise is one of the common engine faults, which will affect the comfort, power and safety of the automobile at the same time. In order to study the abnormal noise existing in the test process of diesel engine lubricating oil circuit system, 1D numerical simulation analysis of its flow field is carried out by using simulation software GT-power to verify the boundary conditions of the model and analyze the fluctuation of pressure at different speeds and temperatures. Through numerical analysis, it is found that there is almost no pressure fluctuation in the lubrication system before the pressure limiting valve is opened, but after the pressure limiting valve is opened, pressure fluctuation occurs in the pipeline, and the pressure fluctuation is different at different positions. Finally, the lubrication pipeline is simulated and analyzed by Pumplinx software, and the pressure fluctuation in the lubrication pipeline of diesel engine is reduced by optimizing the diameter of the oil pipeline and increasing the cavity structure. [ABSTRACT FROM AUTHOR]

Given the benefits of neuroendovascular simulation to resident education, this study aimed to assess the efficacy of simulation-based training for neuroendovascular intervention with primary and secondary catheters using a transradial approach (TRA). Five neurosurgical residents (PGY 1–3) from our institution enrolled in a standardized pilot training protocol. Trainees used the Mentice (Gothenburg, Vastra Gotaland, Sweden) Visit G5 simulator with a type II arch using a right TRA. All participants improved their total time to complete the task from the first trial to the last trial. Residents improved the overall time required to complete the task by 111.8 ± 57 seconds (52% improvement; P = 0.012). Participants reported improved knowledge of Simmons catheter formation from 1.6 ± 0.8 to 2.8 ± 1 (P = 0.035) and improved knowledge of transradial vessel selection technique from 1.6 ± 0.9 to 2.8 ± 1.1 (P = 0.035). All residents were able to illustrate a bovine arch and types 1–3 arches post-simulation. Residents rated the simulation usefulness as 4.6 ± 0.548 (scale 1 [not useful] to 5 [essential]) with 4 of the 5 residents (80%) identifying this exercise as essential. All residents rated the hands-on component of the training exercise as the most important. Residents demonstrated proficiency at Simmons catheter formation and vessel selection in a type II arch over a short time period (4 attempts and <1 hour total). Residents can use simulator-based training to increase their proficiency of vessel selection using a primary or secondary catheter for a TRA. [ABSTRACT FROM AUTHOR]

Plant breeding is a complex endeavor that is almost always multi-objective in nature. In recent years, stochastic breeding simulations have been used by breeders to assess the merits of alternative breeding strategies and assist in decision-making. In addition to simulations, visualization of a Pareto frontier for multiple competing breeding objectives can assist breeders in decision-making. This paper introduces Python Breeding Optimizer and Simulator (PyBrOpS), a Python package capable of performing multi-objective optimization of breeding objectives and stochastic simulations of breeding pipelines. PyBrOpS is unique among other simulation platforms in that it can perform multi-objective optimizations and incorporate these results into breeding simulations. PyBrOpS is built to be highly modular and has a script-based philosophy, making it highly extensible and customizable. In this paper, we describe some of the main features of PyBrOpS and demonstrate its ability to map Pareto frontiers for breeding possibilities and perform multi-objective selection in a simulated breeding pipeline. [ABSTRACT FROM AUTHOR]

In this work, capillary electrophoresis with Gaussian distribution‐based peak fitting for improved peak resolution for simultaneous quantitative analysis of chondroitin sulfate (CS) and dermatan sulfate (DS) was developed for the first time. The effects of different pH, voltage, and peak shapes on the peak fitting were investigated. The results indicate that separation conditions that affect peak shape have a significant impact on peak fitting. Under optimized separation conditions, the peak fitting achieves high accuracy and precision, the relative standard deviation (n = 5) of peak area and migration time of CS and DS were 1.1%, 1.8% and 0.94%, 0.84%, respectively. Furthermore, the results obtained by peak fitting were close to real values. The developed method was used to analyze the purity of CS. The results had a high consistency with the labeled value; furthermore, the peak fitting could point out the number of possible impurities. The developed method has good potential for the analysis of other glycosaminoglycans with peak overlap. [ABSTRACT FROM AUTHOR]

In case of fire, effective evacuation guidance can reduce evacuees' hesitation time and improve evacuation efficiency. In this paper, an improved model of fire evacuation (guided fire cellular automata, GF-CA) is provided. First, the parameters of the improved model are quantified and analyzed to determine the parameter calculation method and variation law. Second, a typical subway interchange station in Shenyang is used as an example for evacuation simulation. Then, a lightweight building information modeling (BIM) is constructed and applied to the example combining the evacuation simulation software of Pathfinder and virtual reality technology for personnel evacuation simulation. Three types of simulation scenarios are examined, including simulation without guiding factors, simulation with guiding factors based on the improved model, and simulation based on the virtual reality experiment with guiding factors. The results show that the evacuation efficiency is increased by 75.63% after effective guidelines through personnel diversion and reasonable exit allocation, noting that the path results of the model are highly similar to those of the virtual reality experiment, which has good validity and rationality. Meanwhile, we analyze the guiding scheme and propose that we should pay attention to the position of the sign and the configuration of the conductor, and flexibly use the composite scheme, which provides effective technical support for improving evacuation safety and evacuation efficiency. [ABSTRACT FROM AUTHOR]

In light of fuel consumption reduction and environmental regulations, the automotive industry favors lightweight components. Aluminum is chosen for its superior corrosion resistance and high strength-to-weight ratio in complex vehicle parts which are manufactured using high pressure die-casting (HPDC) process. However, this process suffers from significant mechanical property variations and unreliable stress cycles due to defects like porosity, shrinkage, misrun, and hot tears, leading to fatigue failures. Despite the detrimental impact of casting defects, the underlying reasons for the high variability in the HPDC process remain unclear. Numerical tools provide insights into parameters that are challenging to measure experimentally. This research presents a thorough analysis of the design, development, fabrication, and testing of an aluminum die-cast swing arm utilizing Magma 5 software. The study focuses on the solidification characteristics of the swing arm, examining factors such as pore length, solidification duration, hot spot distribution, and shrinkage porosity severity. To support design improvements aimed at addressing identified failures, the commercial simulation software Magma 5 was employed. These enhancements resulted in a substantial reduction in solidification time and effectively shifted hot spots away from previously identified cracked areas. Additionally, there were significant decreases in both the percentage and intensity of porosity, confirmed by X-ray and CT scan analyses. Durability tests conducted with a dynamometer indicated a remarkable 50% increase in fatigue life compared to the original design. The research highlights the significance of early simulation-based design modifications in reducing fatigue failures in HPDC aluminum components. It was noted that excessive porosity levels exceeding 8% are a major factor contributing to this issue. Recommendations include avoiding thicker designs and complex part configurations to reduce porosity, as well as assessing defect locations in relation to surface proximity and stress regions. [ABSTRACT FROM AUTHOR]

This study assessed the risk of urban road waterlogging and the threshold of the influencing factors using software simulation and data analysis. This study selected the road space in the main urban area of Hangzhou City from 2019 to 2021 as the research object. ArcGIS software was used to study the spatial distribution of road waterlogging points. Kernel density analysis and the Geographic Detector (GD) method were used to determine the dominant factors affecting road waterlogging. This study reveals the central clustering distribution characteristics of road waterlogging and the five-level risk zoning of disasters. The simulation results show that the highest-risk areas for road waterlogging in the main urban area of Hangzhou are distributed in Chao Wang Road, Jianguo Middle Road, Jianguo South Road, Hupao Road, Lingyin Road, Fuchunjiang Road, Moganshan Road Sect. 4, and Tianmu Mountain Road Sect. 3. The ranking of the impact factors for road waterlogging was as follows: elevation > vegetation coverage > slope > impervious surface abundance > distance from rivers. Factor threshold for worst flooding is that the elevation of < 15–20 m, a slope of < 8–10°, vegetation coverage of < 10%, and an abundance of impermeable surfaces > 60–70%. Elevation and vegetation coverage were the significant factors with the greatest impact on road space waterlogging. The combination of elevation and vegetation coverage, elevation and slope, and elevation and impervious surface abundance had a greater impact on road waterlogging than the other three combinations. All the interactions of the influencing factors had a nonlinear enhancing effect on urban road waterlogging disasters. [ABSTRACT FROM AUTHOR]

We report a case study where an existing materials science course was modified to include numerical simulation projects on the micromagnetic behavior of materials. The Ubermag micromagnetic simulation software package is used in order to solve problems computationally. The simulation software is controlled through the Python code in Jupyter notebooks. Our experience is that the self-paced problem-solving nature of the project work can facilitate a better in-depth exploration of the course contents. We discuss which aspects of the Ubermag and the project Jupyter ecosystem have been beneficial for the students' learning experience and which could be transferred to similar teaching activities in other subject areas. Editor's Note: Acquiring computational skills has become an important goal in STEM education. Computational literacy can be achieved through standard programming or numerical methods courses, but it can also be promoted in other courses, for instance through student projects. This paper describes this approach within the context of micromagnetics, making use of project Jupyter. The authors discuss how the Python-based open-source simulation software package they have developed facilitates student access to specialized numerical simulations. This paper should interest educators who try to implement numerical methods into their courses or labs. [ABSTRACT FROM AUTHOR]

In surgery, simulated-based training improves the knowledge and interpersonal skills needed for surgeons to improve their performance and meet the "never the first time on a patient" imperative. The objective is to evaluate the effects of a 2017 reform on surgeon's accessibility to simulation-based training, five years after the implementation of the program, and to gauge surgeon satisfaction. A 27-item national online survey was sent to all surgical residents and fellows in the 13 surgical specialties. Among 523 responses, 405 (77.4%) were residents and 118 (22.6%) were surgical fellows. Two hundred forty-seven (47.2%) of surgical residents and fellows stated they did not have a simulation structure or simulation program in the town of their university hospital center. Two hundred thirty-five (44.9%) reported having simulation training programs and 41 (7.8%) reported having easy and free access to their simulation structure. Regarding simulation-based training, 44.6% of surgical residents and fellows had never received training in technical skills on simulators, 82.2% had never received training in teamwork or interprofessional skills and 76.1% had never received training in behavioral or relational skills. There was a significant difference between the degree of satisfaction of residents at the beginning and at the end of the study (P = 0.02). Simulation is a well-established educational tool, but there are still strong inequalities between universities. Despite the national deployment of simulation-based teaching programs and institutional efforts, surgical simulation is insufficiently developed in France, and learner satisfaction is poor. [ABSTRACT FROM AUTHOR]

Copyright of Przegląd Elektrotechniczny is the property of Przeglad Elektrotechniczny and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

As an important part of the primary circuit system of a nuclear power plant, the safe and stable operation of the canned motor of a nuclear main pump is crucial. The existence of stator can and rotor can in the air gap of a canned motor will generate additional eddy current loss during the operation of the motor, which will be detrimental to the long-term stable operation of the motor. Therefore, in this paper, in order to analyze and weaken the eddy current loss generated on the shielding can, using the empirical formula method, the eddy current loss generated by the shielding can before optimization is calculated, and the relationship among the eddy current loss, can thickness, and motor speed is derived. Subsequently, two shielding can structure optimization schemes were proposed, and the reduction of eddy current loss after optimization was calculated using finite element simulation software. The effects of different optimization schemes were compared. Finally, peak torque and current experiments are conducted on the original motor to verify the accuracy of the finite element calculation results. The results show that both optimization schemes proposed in this paper can reduce the eddy current loss, and the axial segmentation scheme has a better reduction effect on the shielding can. [ABSTRACT FROM AUTHOR]

Copyright of Light Industry Machinery is the property of Light Industry Machinery Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The ventilation system plays a vital role in ensuring the safety of people and means of transportation. Fresh air is created in the tunnel mainly thanks to the exhaust fans arranged at the top of the tunnels. The drive motor for the exhaust fan in the Thu Thiem Road tunnel has a power of 560 kW and operates at a voltage of 6 kV. The paper proposes a 13-level modular multilevel inverter (MMC) with the improved nearest level modulation (NLM) method to ensure the quality of voltage output from the voltage source inverter-fed exhaust fan drive motor. This is a novel combination aimed at transforming electrical power at high voltage levels, high power, and enhancing operational efficiency and the lifespan of semiconductor components within the inverter when operating continuously and over extended durations. The theoretical research results verified through MATLAB/Simulink software with simulation parameters collected from the exhaust fan motor of Thu Thiem Road tunnel, Vietnam show total harmonic distortion of the current in operation with 13 levels is 1.23%, while that of the current in operation with 7 levels is 10.1%; total harmonic distortion (THD) of the voltage with 13 levels is 5.33%, while that of the voltage with 7 levels is 11.37%. [ABSTRACT FROM AUTHOR]

We present quantizer , a new collisionless N -body code tailored for cosmological and galaxy-scale simulations. The code uses the particle-mesh method, combined with a novel adaptive mesh refinement (AMR) technique. The design of the AMR method of quantizer maximizes the efficient use of refinement zones by combining a cell-by-cell scheme with parallelization-friendly regular patches. We test the code using three astrophysical systems: a binary system of two particles without AMR to test orbital accuracy; an isolated elliptical galaxy modelled as a Plummer sphere; and a merger of two disc galaxies. Comparisons are made with the well-known particle-mesh AMR code ramses , and with our own direct particle-particle solver. The results show that the accuracy of quantizer is equal to or better than ramses , and the runtime is approximately 2.5 to 10 times faster than that code, depending on the problem. [ABSTRACT FROM AUTHOR]

Within the frame of this work, a user-friendly MATLAB program for the simulation of signals and electronic noise at the nuclear radiation readout system was developed. Signal and noise in terms of equivalent noise charge (ENC) have been evaluated. Five noise sources were considered in order to have high simulation accuracy. The role and influence of different parameters of the readout circuits on the output signal and noise were predicted and illustrated. Moreover, the effect of all elementary parameters of each noise source on the ENC was taken into consideration. Since the energy resolution is affected by the electronic noise expressed by ENC, the obtained simulation results help to select the most feasible concept and parameters for a real system having a minimal noise effect. Using the program, several examples of the effect of those parameters on different ENC contributions related to the noise sources have been analyzed and discussed in detail. A comparison between the simulated results and experimental data was conducted. [ABSTRACT FROM AUTHOR]

Background: We aimed to ascertain the current state of and needs for virtual reality (VR)-based simulation training in the care of adult respiratory patients. Learning to care for patients with infectious respiratory disease is crucial in nurses' practical education. Thus, studies on the state of VR-based simulation-training are required. Methods: We used an explanatory sequential mixed-methods design. The sample included 122 new nurses at two advanced general hospitals and five educators at a nursing college. The educational needs of virtual reality-based simulation education were measured by the tool developed in this study. Research data were collected from August 31 to September 26, 2022. Quantitative data were subjected to a descriptive analysis, while qualitative data were subjected to content analysis. Results: The new nurses in this study had a mean age of 24.51 years and total clinical experience of 11.18 months; 82.8% of the participants had experience in adult respiratory patient care, and 94.3% were aware of the need for this training. In the qualitative data analysis of six new nurses, all participants had experience with simulation training and were aware of its need. Moreover, all participants wanted repeated VR-based simulation training using real clinical cases. Regarding the qualitative data analysis of five nursing college educators, most of them had experience providing and receiving simulation training, and they were aware of its need in caring for respiratory patients. They reported the need for VR learning spaces that reflect the clinical environment, alongside sufficient duration and frequency of learning. Our findings could help develop simulation training programs for nursing students to assist adult respiratory patients. Conclusions: We provide a basis for developing VR-based simulation training for respiratory care by studying the current state of and demand for nurses' VR-based simulation training. The results can contribute to improving the quality of nursing for adult respiratory patients. [ABSTRACT FROM AUTHOR]

A series of screw structures with different screw leads, outer diameters, and head numbers were established by using a modeling software. After the particle model was established and the contact parameters were set in the discrete element numerical simulation software, the conveying process of screw under different structures was simulated. The post-treatment module was used to analyze the force of particles in the conveying process and the mass flow rate at the outlet of the feeder, and the effect of screw structure on the feeding quality was discussed. The results indicated that the screw lead was the main factor affecting the conveying efficiency of the screw feeder. The conveying efficiency of the screw with the 20 mm lead was about 15 times as high as that with the 14mm lead; however, the discharging accuracy was reduced. The screw clearance is the main factor affecting the force of particles. The decrease of the clearance can lead to an increase in the force of particles. The average force of the screw clearance is about 1. 2×10-2 N. The double-headed screw caused the surge of force in the particle conveying process, resulting in a peak value of about 15 N. Meanwhile, the discharge efficiency was reduced, but the discharge stability was improved. [ABSTRACT FROM AUTHOR]

Aiming at the complex structure, numerous equipment, intricate control and protection logic, as well as the existence of numerous unmodeled dynamics and black-box device models in photovoltaic (PV) grid-connected systems, a modeling method based on Particle Swarm Optimization Neural Network (PSO-NN) is proposed to address the inability of pure mechanism models to accurately simulate their operational dynamics. Utilizing the differences in active power response waveforms under Voltage-Frequency (Vf) control, Power-Reactive Power (PQ) control, and Droop control as criteria for control strategy identification, a PSO-NN model is constructed for PV grid-connected systems, with inputs comprising temperature, humidity, light intensity, voltage, and frequency disturbances, and outputs being active and reactive power. To validate the model's effectiveness, a PV grid-connected system model is built in a self-developed simulation software and connected to an IEEE 14-bus distribution network for simulation verification. The results demonstrate that the proposed PV grid-connected model can effectively identify the types of Vf control, PQ control, and Droop control strategies, and accurately reflect the dynamic response characteristics of active and reactive power under various voltage and frequency disturbances. [ABSTRACT FROM AUTHOR]

Recent advancements in omics and single-cell analysis highlight the necessity of numerical methods for managing the complexity of biological data. This paper introduces a simulation program for biochemical reaction systems based on the natural number simulation (NNS) method. This novel approach ensures the equitable treatment of all molecular entities, such as DNA, proteins, H2O, and hydrogen ions (H+), in biological systems. Central to NNS is its use of stoichiometric formulas, simplifying the modeling process and facilitating efficient and accurate simulations of diverse biochemical reactions. The advantage of this method is its ability to manage all molecules uniformly, ensuring a balanced representation in simulations. Detailed in Python, NNS is adept at simulating various reactions, ranging from water ionization to Michaelis-Menten kinetics and complex gene-based systems, making it an effective tool for scientific and engineering research. [ABSTRACT FROM AUTHOR]

Background: There is a growing body of evidence on shared decision-making (SDM) training programs worldwide. However, there is wide variation in program design, duration, effectiveness, and evaluation in both academia (ie, medical school) and the practice setting. SDM training has been slow to integrate in practice settings. Methods: A pilot study of 6 multidisciplinary clinicians was conducted using quantitative and qualitative methods to evaluate changes in participant understanding and implementation of SDM in the practice setting. A 2-rater criterion-based evaluation method was used to assess a simulation-based case study role-play program using 7 domains of SDM pre and post training. The authors assessed whether clinicians addressed each of the 7 domains or what fraction of each domain was addressed as part of their simulation case study role-play performance. Focus groups were conducted pre- and postintervention to provide feedback to participants and to understand the clinician experience in greater detail. Results: The increase in improvement in SDM ranged from 17% to 37%, and 7 of 8 domains for which participants were rated showed significant improvement. The areas of greatest improvement were seen in determining a patient's goals/preferences, including risk tolerance regarding treatments (+37%) and values and self-efficacy (+37%). Conclusion: The results of this study reveal a significant shift in clinician awareness of a patient's goals, preferences, and values. Postintervention, clinicians began to understand the value of building a partnership with their patients whereby the patient becomes an active participant in their clinical care. [ABSTRACT FROM AUTHOR]

Precisely determining how cables distribute their current-carrying capacity and temperature field is crucial for the dependable and cost-effective functioning of power grids. Firstly, the power cable structure and the advantages and disadvantages of different laying methods are analyzed in detail. Secondly, the theoretical model of current-carrying capacity calculation and temperature field of power cables, including heat convection, heat conduction, and heat radiation, is constructed, and the method for calculating cable current-carrying capacity, relying on the double-point chordal interception method, is suggested. Then, the COMSOL multiphysics 6.2 finite element simulation software is utilized to create a simulation model that aligns with the real cable laying technique. Finally, the current-carrying capacity and temperature field of power cables are simulated and analyzed for different arrangements of power cables in three laying modes, namely directly buried, row pipe, and trench. The simulation results show that the cable laying method greatly affects the cable's carrying capacity; the more centralized the cable distribution, the smaller the flow. The method can be realized in different ways of laying power cables in the real-time rapid calculation of flow as the actual laying of power cables has an important reference and reference significance. [ABSTRACT FROM AUTHOR]

GASMAN software, a simulation tool for inhalational anesthetics' pharmacokinetics and pharmacodynamics, has become essential in both anesthesia education and clinical practice. This review explores its applications, highlighting its effectiveness in enhancing medical education and its impact on clinical anesthesia management. In educational settings, GASMAN software facilitates a deeper understanding of anesthetic pharmacology through interactive and visual simulations, thereby improving students' learning outcomes and engagement. Clinically, it aids anesthesiologists in optimizing anesthetic dosing, enhancing patient safety, and supporting real-time decision-making during surgeries. Despite its advantages, GASMAN software faces limitations such as the absence of physiological feedback and the need for continuous data model updates. Future directions include technical enhancements, integration with advanced patient simulators, and broader dissemination through educational partnerships. This review emphasizes the significant contributions of GASMAN software to anesthesia education and clinical practice and suggests pathways for future improvements and wider adoption. [ABSTRACT FROM AUTHOR]

In this work, we enhance the FNet , a 1D convolutional neural network (CNN) with a residual neural network (ResNet) architecture, to perform spectral classification of quasars, galaxies, stars, and broad absorption line (BAL)-quasars in the SDSS-IV catalogue from DR17 of eBOSS. Leveraging its convolutional layers and the ResNet structure with different kernel sizes, FNet autonomously identifies various patterns within the entire sample of spectra. Since FNet does not require the intermediate step of identifying specific lines, a simple modification enabled our current network to classify all SDSS spectra. This modification involves changing the final output layer from a single value (redshift) to multiple values (probabilities of all classes), and accordingly adjusting the loss function from mean squared error to cross-entropy. FNet achieves a completeness of 99.00  per cent |$\pm$| 0.20 for galaxies, 98.50  per cent |$\pm$| 0.30 for quasars, 99.00  per cent |$\pm$| 0.18 for BAL-quasars, and 98.80 per cent |$\pm$| 0.20 for stars. These results are comparable to those obtained using QuasarNET , a standard CNN employed in the SDSS routine, comprises convolutional layers without the ResNet structure with equal kernel sizes, and is utilized for redshift measurement and classification by identifying seven emission lines. QuasarNET , in order to overcome the problem of finding a C  iv emission line with broad absorption which is slightly more challenging than that of detecting emission lines requires to add BAL C  iv line to the list of lines that the network learns to identify. However, this procedure is not necessary in FNet as it learns the features through a self-learning procedure. [ABSTRACT FROM AUTHOR]

In the deep hole gun drilling process, the holes' small diameter and long depth, combined with the narrow chip removal space, have made the relationship between process parameters and chip formation a persistent challenge in deep hole machining research. 304 stainless steel, known for its excellent wear and corrosion resistance, is widely used to manufacture deep-hole components. However, it also has processing difficulties, such as high hardness and poor plasticity. Therefore, this study focuses on 304 stainless steel, utilizing ABAQUS simulation software to model the chip formation process during deep hole gun drilling and investigate the effects of process parameters on chip formation. Based on the simulation results and employing fluid–structure interaction theory, a fluid–solid coupling simulation model was established using ANSYS Fluent software to study the impact of coolant pressure on chip formation. The relationship between coolant pressure and chip curling deformation at different stages of chip growth was elucidated. Subsequently, deep-hole gun drilling tests were conducted to analyze chip morphology. Scanning electron microscopy (SEM) was used to study the fracture mechanism of chips during the deep hole gun drilling of 304 stainless steel, ultimately revealing the relationship between chip formation and process parameters in this machining process. [ABSTRACT FROM AUTHOR]

In this study, a type 3–2 ceramic-air composite was designed, and the impact of varying thicknesses on its electromechanical properties was analyzed. Initially, finite element simulation software was employed to model type 3–2 ceramic-air composites of differing thicknesses. This modeling facilitated the determination of resonance and anti-resonance frequencies, calculation of effective electromechanical coupling coefficients, and assessment of frequency discrepancies corresponding to each thickness. Subsequently, type 3–2 ceramic-air composites of various thicknesses were fabricated using the reverse cutting method. The experimental results corroborated the simulation outcomes, demonstrating consistency. In the final analysis, the performance parameters of conventional type 1–3 piezoelectric composites were evaluated alongside those of type 3–2 composites. Findings indicated an improvement of 0.8 in the thickness electromechanical coupling coefficient for type 3–2 composites compared to conventional type 1–3 composites. Consequently, type 3–2 composites show promise for the development of highly sensitive piezoelectric transducers. [ABSTRACT FROM AUTHOR]

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To investigate the influence of varied mechanical parameters of coal mass on rock burst occurrence during deep roadway tunneling, the surrounding coal and rock mass of a deep roadway were taken as the research objects. A geometric model of roadway tunneling was developed using 3DEC numerical simulation software, and the failure characteristics of the coal mass in the roadway side were analyzed based on the rock burst mechanism and stress difference gradient theory for deep mining. The risk of rock burst during roadway tunneling was quantitatively assessed using the change rate of the stress difference gradient (Dgc), thereby elucidating the burst failure patterns of the deep roadway under the influence of varied mechanical parameters. The findings indicate that the coal mass in the roadway side zone is more prone to burst failure due to stress disturbances during deep excavation compared to the coal and rock mass in the roof and floor zones, and that the released kinetic energy and the risk of burst failure are positively correlated with the magnitude of the ground stress. The variation of the mechanical properties of coal mass has a significant effect on the rock burst risk during roadway tunneling. The variation of both internal friction angle and cohesion significantly affects rock burst, with cohesion exerting a greater influence. Conversely, the elastic modulus does not significantly impact the risk. The tendency of bursting in the coal mass is positively correlated with the coefficient of variation (COV) in cohesion and negatively correlated with the COV in internal friction angle. These research findings offer valuable insights for the quantitative assessment of rock burst risk during roadway tunneling. [ABSTRACT FROM AUTHOR]

In order to achieve an effective balance between SAR image simulation fidelity and efficiency, we proposed a ray-tracing-assisted SAR image simulation method under range doppler (RD) imaging geometry. This method utilizes the spatial traversal mode of RD imaging geometry to transmit discrete electromagnetic (EM) waves into the SAR radiation area and follows the Nyquist sampling law to set the density of transmitted EM waves to effectively identify the beam radiation area. The ray-tracing algorithm is used to obtain the backscatter amplitude and real-time slant range of the transmitted EM wave, which can effectively record the multiple backscattering among the components of the distributed target so that the backscattering subfields of each component can be correlated. According to the RD condition equation, the backscattering amplitude is assigned to the corresponding range gate, and the three-dimensional (3D) target is mapped into the two-dimensional (2D) SAR slant-range coordinate system, and the SAR target simulated image is directly obtained. Finally, the simulation images of the proposed method are compared qualitatively and quantitatively with those obtained by commercial simulation software, and the effectiveness of the proposed method is verified. [ABSTRACT FROM AUTHOR]

Electron beam powder bed fusion (PBF‐EB) is a promising technology for fabricating complex parts with near‐net‐shape precision. Moreover, PBF‐EB offers a unique opportunity to tailor the microstructure, thereby tuning local mechanical properties. Numerical simulation has emerged as a powerful tool for predicting the evolution of texture and grain structure during PBF‐EB. Herein, the in‐house developed and experimentally validated simulation software, SAMPLE3D$\text{S} A M \left(\text{PLE}\right)^{3 \text{D}}$, is employed to investigate the impact of scanning strategy on the texture and grain structure of CMSX‐4 in PBF‐EB‐processed thin tilted lattice struts, commonly found in cellular structures. The core of SAMPLE3D$\text{S} A M \left(\text{PLE}\right)^{3 \text{D}}$ consists of a finite difference solver for temperature field computation and a cellular automaton model for simulating grain structure evolution. Nine distinct scanning strategies are systematically explored. The resulting texture and grain structures are meticulously compared and comprehensively discussed. Notably, the contour scanning strategy yields distinctive texture and grain structures compared to other explored scanning strategies. This study highlights the capability of SAMPLE3D$\text{S} A M \left(\text{PLE}\right)^{3 \text{D}}$ in assisting microstructure customization in the PBF‐EB process, and advances the understanding of the relationship between PBF‐EB scanning strategy and resulting microstructure in tilted lattice struts. [ABSTRACT FROM AUTHOR]

During the operation of the drill string, it displays a degree of flexibility. Simultaneously, its dynamic properties, influenced by complex stress conditions, manifest nonlinearity and uncertainty. A comprehensive investigation into the dynamics of flexible drill strings is imperative for deep well drilling. This paper presents a model that simulates random interactions between a flexible drill string and the borehole wall, simplifying the actual drill string model using analogous principles. Dynamic simulation software is utilized for analysis, and an indoor experimental setup has been established. The results reveal that with a constant weight on bit (WOB), higher drill string rotational speeds correlate with increased susceptibility to buckling deformation. Additionally, the critical time for deformation onset exhibits a nearly linear relationship with rotational speed. Maintaining a constant rotational speed, an increase in WOB enhances the likelihood of buckling deformation. The experimental findings suggest a correlation between the drill string's rotation frequency and the WOB. [ABSTRACT FROM AUTHOR]

Introduction Simulation-based medical training has been shown to be effective and is widely used in civilian hospitals; however, it is unclear how widely and how effectively simulation is utilized in the U.S. Military Health System (MHS). The current operational state of medical simulation in the MHS is unknown, and there remains a need for a system-wide assessment of whether and how the advances in simulation-based medical training are employed to meet the evolving needs of the present-day warfighter. Understanding the types of skills and methods used within simulation programs across the enterprise is important data for leaders as they plan for the future in terms of curriculum development and the investment of resources. The aim of the present study is to survey MHS simulation programs in order to determine the prevalence of skills taught, the types of learners served, and the most common methodologies employed in this worldwide health care system. Materials and Methods A cross-sectional survey of simulation activities was distributed to the medical directors of all 93 simulation programs in the MHS. The survey was developed by the authors based on lists of critical wartime skills published by the medical departments of the US Army, Navy, and Air Force. Respondents were asked to indicate the types of learners trained at their program, which of the 82 unique skills included in the survey are trained at their site, and for each skill the modalities of simulation used, i.e. mannequin, standardized patients, part task trainers, augmented/virtual reality tools, or cadaver/live tissue. Results Complete survey responses were obtained from 75 of the 93 (80%) MHS medical simulation training programs. Across all skills included in the survey, those most commonly taught belonged predominantly to the categories of medic skills and nursing skills. Across all sites, the most common category of learner was the medic/corpsman (95% of sites), followed by nurses (87%), physicians (83%), non-medical combat lifesavers (59%), and others (28%) that included on-base first responders, law enforcement, fire fighters, and civilians. The skills training offered by programs included most commonly the tasks associated with medics/corpsmen (97%) followed by nursing (81%), advanced provider (77%), and General Medical Officer (GMO) skills (47%). Conclusion The survey demonstrated that the most common skills taught were all related to point of injury combat casualty care and addressed the most common causes of death on the battlefield. The availability of training in medic skills, nursing skills, and advanced provider skills were similar in small, medium, and large programs. However, medium and small programs were less likely to deliver training for advanced providers and GMOs compared to larger programs. Overall, this study found that simulation-based medical training in the MHS is focused on medic and nursing skills, and that large programs are more likely to offer training for advanced providers and GMOs. Potential gaps in the availability of existing training are identified as over 50% of skills included in the nursing, advanced provider, and GMO skill categories are not covered by at least 80% of sites serving those learners. [ABSTRACT FROM AUTHOR]

In this article, we propose a data-driven method for short-circuit fault detection in transmission lines that exploits the capabilities of convolutional neural networks (CNNs). CNNs, a class of deep feedforward neural networks, can autonomously detect different features from data, eliminating the need for manual intervention. To mitigate the effects of noise and increase network robustness, we present a CNN architecture with six convolutional layers. The study uses a single busbar power system model developed with the PSCAD simulation program to evaluate the performance of the proposed method. The proposed CNN method is also compared with machine learning methods such as LSTM, SVM and ELM. Our results show a high success rate of 98.4% across all fault impedances, confirming the effectiveness of the proposed CNN methods in accurately detecting short-circuit faults based on current and voltage measurements. [ABSTRACT FROM AUTHOR]

Large scale geospatial simulation projects require multidisciplinary efforts by actors with highly variable skills and domains of expertise. Subject matter experts, modelers, developers, analysts, and decision makers must collaborate closely to model a real‐world system, simulate it, analyze its results and disseminate them. Simulation environments, tailored to business scenarios, can provide the necessary support to facilitate their collaboration throughout the simulation lifecycle. Commercial modeling and simulation software can provide an environment to facilitate simulation studies for users but, they tend to be narrowly scoped. This research focuses on the different categories of users and introduces four business processes that carry those users across the simulation lifecycle. These concepts are translated into an architecture that facilitates the operationalization of geospatial simulation environments using modeling and simulation as a service and Discrete Event Systems Specification. [ABSTRACT FROM AUTHOR]

In view of issues affecting manual on-demand sowing of spinach, such as high working intensity, low seeding efficiency, and high cost, a mechanized precision seeding device for spinach seeds is proposed, based on a spoon-wheel including a combined cell with two intersecting surfaces. The key structure was designed, and motion analysis was conducted employing SolidWorks software (2022). Additionally, the seeding process was simulated using EDEM simulation software (2022). The number of spoons, the radius of the spoons, and the speed of the seed wheel were chosen as the influencing factors, while the qualified index, reseeding index, and missing index were utilized as the evaluation indexes. A response surface method test based on the Box–Behnken design was carried out, and the test results were analyzed to obtain the optimal parameter combination for the seed-metering device. The field test results showed that when the rotation speed was 18 rpm, the radius of each seed spoon was 2.5 mm, and the number of seed spoons was 50, the average qualified index was 90.89%, the reseeding index was 8.22%, and the missed seeding index was 0.89%. The test results satisfy the technical production requirements for spinach seed sowing. [ABSTRACT FROM AUTHOR]

Based on the mining technical conditions of the orebody in the north area deep in Xishan area of Sanshandao Gold Mine, this study aims to optimize the stope structural parameters for the upward approach cut-and-fill mining method. 10 preliminary stope structural parameters were selected and analyzed using ABAQUS software for numerical simulation. These simulation results were further optimized using fuzzy mathematics. Through comprehensive comparison and analysis, Scheme 2 is recommended for the structural parameters of the stope in the SL06154 panel of the north area deep in Xishan area of Sanshandao Gold Mine. The scheme involves a first-step stope width of 8 m, a second-step stope width of 6 m, and a stope height of 4.5 m, with an alternate mining approach for the orebody in the north area deep in Xishan area of Sanshandao Gold Mine. [ABSTRACT FROM AUTHOR]