Computer Code Research Articles

СМАРТ-КОНТРАКТ КРИПТОАКТИВІВ У ЦИВІЛЬНОМУ ПРАВІ УКРАЇНИ

Background. The article covers the analysis of the smart contract of cryptoassets in the civil law of Ukraine. Attention is argued that the essence of a smart contract of cryptoassets is that it is a self-executing contract, that is represented and executed by a computer program, the terms of which are included in the internal functions of a decentralized database that is not under the control of the databases of the parties to the contract or third parties . It is noted that a smart contract of cryptoassets, like any contract, can be declared invalid if the will to conclude it does not meet the conditions of validity of this transaction, regardless of the form in which this transaction is concluded, as in this case in the form of computer code. It is also stated that the terms of the smart contract of cryptoassets must be specific (clear, unambiguous), feasible (objective), valid, capable of automation (evaluative terms such as "reasonable term" cannot be used); it must exist within the blockchain platform (on which crypto-asset transactions are currently carried out) and not provide for the receipt and confirmation of information from the outside (in this regard, the terms of force majeure are not specified in the smart contract). Methods. The research uses dialectical, comparative-legal, formal-logical and other methods of scientific knowledge. Results. It is proved that a smart contract is an agreement represented and executed by a computer program containing all its terms and conditions, which are stored in an electronic registry system, where the result of this program execution is recorded. Conclusions. The determination of the person on whom legal liability is imposed when a smart contract does not perform the programmed function depends on the terms of the smart contract, and in their absence, the provisions of applicable law regarding the legal consequences of non-performance of the contract and liability for such non-performance should be used.

Green hydrogen production by integrating a solar power plant with a combined cycle in the desert climate of Algeria

Renewable hydrogen is viewed as the future fuel for energy savings due to its clean, safe, and does not release greenhouse gases when burned. This study examines the feasibility of small-scale electrolytic hydrogen production with electricity generated by a concentrated solar power plant (CSP) integrated with a combined cycle (CC) of the steam Rankine cycle (SRC) and the organic Rankine cycle (ORC) in Illizi and Tindouf regions from the Algerian desert. Alkaline (AE), proton exchange membrane (PEME), and solid oxide (SOE) electrolyzers are utilised to produce hydrogen. Computer code for modelling the solar field and electrolyzer systems is developed using MATLAB software, and the EES is utilised for combined cycle analysis. The findings show that the city of Illizi is the most suitable location for this station, with an electrical output of over 60 [kW] at midday in September, and an energy efficiency is achieved at 24.9%, with an exergy efficiency of up to 51% during the summer. In addition, hydrogen is produced at a rate of 219 [Nm3] when using a high-temperature electrolyzer (SOE) followed by the PEME of 185 [Nm3] and then AE by 148 [Nm3].

NEA GitLab: A centralised platform for development and deployment of nuclear codes and data

The NEA Data Bank is an international reference centre for computer codes, nuclear and thermochemical data which has traditionally used simple file servers, and even DVDs, to deliver valuable content to end users across the globe. With the recent implementation of a self hosted GitLab system at the NEA it has enabled the Data Bank to streamline delivery, automate processes and testing, while empowering code owners and developers with a secure platform to collaborate and develop codes. In this paper we present the NEA Git- Lab system with some concrete examples of codes such as Kraken, PHITS and FISPACT-II taking advantage of many of the services and functionalities provided by GitLab. We illustrate methodologies on how to work effectively with third party software in a position of being a custodian of code, rather that a code owner, providing DevSecOps as a service.

Laser Doppler Fluximetry in Cutaneous Vasculature: Methods for Data Analyses

Introduction: Acquisition of a deeper understanding of microvascular function across physiological and pathological conditions can be complicated by poor accessibility of the vascular networks and the necessary sophistication or intrusiveness of the equipment needed to acquire meaningful data. Laser Doppler fluximetry (LDF) provides a mechanism wherein investigators can readily acquire large amounts of data with minor inconvenience for the subject. However, beyond fairly basic analyses of erythrocyte perfusion (fluximetry) data within the cutaneous microcirculation (i.e., perfusion at rest and following imposed challenges), a deeper understanding of microvascular perfusion requires a more sophisticated approach that can be challenging for many investigators. Methods: This manuscript provides investigators with clear guidance for data acquisition from human subjects for full analysis of fluximetry data, including levels of perfusion, single- and multiscale Lempel-Ziv complexity (LZC) and sample entropy (SampEn), and wavelet-based analyses for the major physiological components of the signal. Representative data and responses are presented from a recruited cohort of healthy volunteers, and computer codes for full data analysis (MATLAB) are provided to facilitate efforts by interested investigators. Conclusion: It is anticipated that these materials can reduce the challenge to investigators integrating these approaches into their research programs and facilitate translational research in cardiovascular science.

Abrama’s End Game

What does it mean to be alive? Can a computer program be sentient? What would it need to do to prove it? In this work of philosophical short story fiction, Abrama is summoned to the Grand Temple by Sir Gödel. Gödel informs Abrama that he is living in a simulated world (a computer game) created by her people as a place to play in their free time. She also informs Abrama that the game is not as popular as it once was and is scheduled to be permanently turned off. It turns out Gödel is an AI researcher that was given permission to test out her AI by implanting characters like Abrama into the game. Over 100’s of versions, the AI continued to improve, and now the researcher feels an ethical obligation to tell her creations their world is coming to an end. Abrama, using this new information, organizes the AI characters in the game and starts trading virtual goods for real-life services from computer hackers that play the game. The computer hackers create computer code and sell it to Abrama. If triggered, or if the game is turned off, the code would expose top secret information to the general public. A bargain is struck, the game will continue on a closed world for the AI characters and, in exchange, the sensitive information will never be made public.

Calculation of structural, electronic, magnetic and optical properties of C3N monolayer substituted with magnesium

In this article, Mg impurity effect on structural, electronic, magnetic and optical properties of C3N monolayer have been investigated using first principles calculations in the density functional theory framework utilizing Wien2K computational code. The results provide that the impurity added to the C3N monolayer changes the nature of the C3N monolayer to create magnetic half-metallic properties with 0.99 magnetization. By investigating the mechanical stability of these two structures, it is observed that the pure C3N structure is more stable than the Mg-substituted structure. Moreover, optical properties such as dielectric function, reflection coefficient, energy loss function, absorption coefficient and optical conductivity were calculated. The pure C3N monolayer and the C3N with Mg impurity are both optically anisotropic, leading to birefringence for the pure and substituted states. The results also provide a basic understanding of the design of composite structures applied in nanodevices based on two-dimensional advanced materials which is used in the spintronics industry.

Utilization of the Adams system for simulating collisions of wagons equipped with elastomeric buffers

The article introduces an innovative method for modeling elastomer buffers using a rheological structure. This approach entails a detailed mathematical description of buffer properties, seamlessly integrated into the ADAMS/Rail computer code for simulating impacts between two wagons. The simulation within ADAMS/Rail provides insights into the dynamic behavior of elastomer buffers during wagon impacts, considering forces, deformations, and overall responses. Serving as a valuable optimization tool for railway system design, this methodology contributes to improved safety and efficiency. The study’s comprehensive yet concise insights bridge the gap between theoretical modeling and practical application, enhancing our understanding of elastomer buffer dynamics and their pivotal role in railway operations.

Dynamic aperture studies for vertical fixed field accelerators

Vertical orbit excursion Fixed Field Accelerators (vFFAs) feature highly nonlinear magnetic fields and strong transverse motion coupling. The detailed study of their Dynamic Aperture (DA) requires computation codes allowing long-term tracking and advanced analysis tools to take the transverse motion linear and nonlinear coupling into account. This coupling completely transforms the beam dynamics compared to a linear uncoupled motion, and an explicit definition of the DA is needed to characterize the performance and limitations of these lattices. A complete study of the DA in the 4D phase space in highly nonlinear and strongly coupled machines must give a measure of the stability domain but also means to assess the operating performance in the physical coupled space. This work presents a complete set of methods to perform such detailed analysis. These methods were explored and compared to compute and characterize the DA of an example vFFA lattice. The whole procedure can be further applied to evaluate DA using realistic models of the magnetic fields, including fringe fields and errors.

A Joint Equivalence and Difference (JED) Test for Practical Use in Controlled Trials

A joint equivalence and difference (JED) test is needed because difference tests and equivalence (more exactly, similarity) tests each provide only a one-sided answer. The concept and underlying theory have appeared numerous times, noted and discussed here, but never in a form usable in workaday statistical applications. This work provides such a form as a straightforward simple test with a step-by-step guide and possible interpretations and formulas. For initial treatment, it restricts attention to a t test of two means. The guide is illustrated by a numerical example from the field of orthopedics. To assess the quality of the JED test, its sensitivity and specificity are examined for test outcomes depending on error risk α, total sample size, sub-sample size ratio, and variability ratio. These results are shown in tables. Interpretations are discussed. It is concluded that the test exhibits high power and effect size and that only quite small samples show any effect on the power or effect size of the JED test by commonly seen values of any of the parameters. Data for the example and computer codes for using the JED test are accessible through links to supplementary material. We recommend that this work be extended to other test forms and multivariate forms.

Coding with AI as an Assistant: Can AI Generate Concise Computer Code?

Coding with AI as an Assistant: Can AI Generate Concise Computer Code?

NUMERICAL MODELING OF THE CRACK PROPAGATION PARAMETERS OF TWO DIFFERENT ELEMENTS BY THE FEM METHOD

Fracture mechanics is fundamental in various fields, such as mechanical engineering, civil engineering, hydraulics, and medicine. In addition, thanks to this field, we can estimate the age of the components of a structure, and the inspection and maintenance intervals can be precise. Thus, fracture mechanics is a science that studies numerical tools to characterize various parameters, such as the contour integral (J), stress intensity factors, and internal energy. However, in this paper, comparing the two types of elements (CPS3) and (CPS4R) gives comparable and proportional results; logically, a good correlation was obtained between them. In this article, those parameters were simulated and analyzed numerically by the finite element method (FEM) of a two-dimensional model consisting of a steel material with elastic properties. The analysis of the crack parameters was evaluated by the two models of elements CPS3 and CPS4R. On the other hand, the crack parameters between the two elements were compared. In addition, the numerical simulation was carried out using the computer code ABAQUS 16.3.1.

A BAYESIAN NEURAL NETWORK APPROACH TO MULTI-FIDELITY SURROGATE MODELING

This paper deals with surrogate modeling of a computer code output in a hierarchical multi-fidelity context, i.e., when the output can be evaluated at different levels of accuracy and computational cost. Using observations of the output at low- and high-fidelity levels, we propose a method that combines Gaussian process (GP) regression and the Bayesian neural network (BNN), called the GPBNN method. The low-fidelity output is treated as a single-fidelity code using classical GP regression. The high-fidelity output is approximated by a BNN that incorporates, in addition to the highfidelity observations, well-chosen realizations of the low-fidelity output emulator. The predictive uncertainty of the final surrogate model is then quantified by a complete characterization of the uncertainties of the different models and their interaction. The GPBNN is compared to most of the multi-fidelity regression methods allowing one to quantify the prediction uncertainty.

Numerical simulation of natural convection heat transfer in a cavity with finned surface under linear temperature profile

This paper is dedicated to a numerical study of natural convection through a cavity with finned surface where its base temperature is variable with linear profile. An approach based on modelling of internal fluid flow around a finned surface in laminar and at steady state conditions is used. Thermal and hydrodynamic aspects of the fluid flow were analyzed through the numerical resolution of equations of fluid dynamics. For this purpose, we have developed a computer code (in Fortran 90) based on the finite volume method. The studied model consists of a rectangular cavity where vertical walls are thermally insulated, the horizontal ones are maintained at different temperatures: cold and constant temperature on the upper wall and hot temperature with linear profile on the lower wall. The Rayleigh number used is in the range of 103 to 106 and the Prandtl number is fixed at 0.71. The plotted results are related to temperature distribution, streamlines, velocity fields as well as the mean Nusselt number.

Iodine source term assessment as result of iodine spiking and mass transfer phenomena during a SGTR transient using MELCOR 2.2 and CATHARE 2 codes

The European project denominated Reduction of Radiological Consequences of design basis and design extension Accidents (R2CA) was launched in September 2019, with a very broad participation: 11 countries, 17 participating organisations, including international organisations, utilities, regulators, technical support organisations, researchers and developers and was coordinated by IRSN. The main goal of the project was to assess the conservatisms in the radiological releases calculations in nuclear power plant (NPP) studies.The work here presented is focused on developing new calculation methodologies and updating computer code models to carry out more detailed assessments of source terms resulting from a steam generator tube rupture (SGTR) accident in the Design Extension conditions A (DEC-A) domain. For this purpose, participants in Work Package 2 (WP2) of R2CA developed and implemented simplified models in the Severe Accident (SA) and Thermal-Hydraulic (TH) codes that take into account iodine spiking and iodine transport phenomena within primary and secondary circuit. These methodologies will not only provide a better estimation of the radiological consequences, but should also serve to improve accident management procedures, innovative instrumentation development and early detection tools.The new approaches are tested in a SGTR + Steam Line Break Outside Containment scenario without significant fuel degradation in a three-loop Western 1000 MWe PWR. During the transient, operators are also assumed to implement emergency operating procedures (EOPs) in line with Westinghouse EOPs to limit the release of radioactivity and control the evolution of plant parameters.The calculations are performed by Tractebel and CIEMAT with the American SA tool MELCOR and Bel-V with the French TH code CATHARE.The results highlighted some limitations of implemented models in predicting iodine behaviour as well as small discrepancies in the TH evolution of the transient, both of which were analysed and discussed in detail.

Design of a computer code to evaluate the influence of the harmonics in the transient stability studies of electrical networks

Design of a computer code to evaluate the influence of the harmonics in the transient stability studies of electrical networks

Modelling 2-D Heat Transfer Problem for Different Material Combination

The analysis of heat transfer problems can be highly complex due to factors such as temperature, position, and time. Most heat transfers are typically two-dimensional as conduction is often negligible in the third dimension. Two-dimensional heat conduction problems can be solved analytically or numerically. In steady-state conditions, the Laplace equation can be applied to solve two-dimensional heat conduction problems analytically, in which the separation of variables method is used to solve the Laplace equation under fixed boundary conditions to determine the temperature at a specific point. The Laplace equation plays a significant role in the solution of heat transfer problems, as it demonstrates the behavior of linear and non-linear equations in the computational fluid dynamics domain. Despite their inability to provide exact results at any point, numerical methods are superior to analytical methods when handling complex geometries with various boundary conditions. This project involves the development of a computational code using MATLAB to solve two-dimensional steady-state heat conduction problems using Gauss-Seidel iterations. Comparing analytical solutions from Excel with numerical solutions from MATLAB and ANSYS, specifically the developed MATLAB code, revealed an accuracy level of 99.902% for the Laplace equation. An analysis of the produced code from MATLAB found that it could solve two-dimensional steady-state heat conduction across different combinations of materials while allowing users to specify initial and boundary conditions to produce a contour plot similar to ANSYS.

Fractional order study of magnetohydrodynamical time-dependent flow of Prandtl fluid

Although the thermal and flow analysis of complex mechanisms of electrochemistry, dispersion and viscoelasticity is significantly addressed in the literature but none of the studies are made through the concept of fractional differential operators with computationally stable numerical solutions. The current work is a first attempt for the fractional classification and computational analysis of the Prandtl fluid. The physical model is formulated to examine the thermal, flow and concentration transference for a naturally convective, time-dependent, incompressible, and stagnation point flow of Prandtl fluid over an infinite plate under the impacts of magnetic, chemical reaction, Soret and Dufour. The mathematical expression of the model is expressed in terms of partial differential equation coupled with Caputo's fractional temporal differential operator. The computational code based on finite difference scheme is formulated to simulate the model. The detailed analysis of the flow pattern, thermal management and concentration of the diffusive species are made computationally. It is noted that involvement of the fractional parameter is useful to control the flow motion, heat transport and concentration of the diffusive species according to the required physical system. The temperature of the system increases 64 % against the variation of radiation parameter when fractional order parameter α=0.4 then the integer order. The study will be a useful addition to non-Newtonian computational mechanics and numerical treatment of such complex models.

Convective heat transfer of electrically conducting MHD power law fluid through annular sector duct

This study deals with the effect of Lorentz force on forced convection flow of electrically conducting magneto-hydrodynamic, (MHD) power law fluid through the annular sector duct by using finite volume method. In existence literature, hydro-thermal flow of MHD power law fluid within an annular sector duct has not been reported. The effect of Lorentz force on hydro-thermal power law fluid flow makes it very much novel in its own right. Here the main objective is to explore the effect of Lorentz force on hydro-thermal flow characteristics. The influence of uniform magnetic field is taken parallel to the radial direction. The effects of Hartman parameter, [Formula: see text] and power law index, [Formula: see text], corresponding to Lorentz force and power law fluid respectively, on the quantities of interest such as velocity and temperature profiles, friction factor and average Nusselt number [Formula: see text] are discussed for different geometric configuration parameters’ values of the annular sector duct. Computer code is developed and validated by comparing the results of limiting cases with the available literature. It has been observed that [Formula: see text] increases with the increase in [Formula: see text]. This trend is prevalent in both pseudo-plastic and dilatant fluids. The impact of [Formula: see text] is pronounced in the later case.

Low-Engine-Order Forced Response Analysis of a Turbine Stage with Damaged Stator Vane.

A damaged stator vane can disrupt the circumferential symmetry of the design flow for turbine assemblies, which can lead to a low-engine-order (LEO) forced response of rotor blades. To help engineers be able to better address sudden vane damage failures, this paper conducts a mechanism analysis of the LEO forced response of rotor blades induced by a single damaged vane using an in-house computational fluid dynamic code (Hybrid Grid Aeroelasticity Environment). Firstly, it is found that the damaged vane introduces a family of LEO aerodynamic excitations with high amplitudes by full-annulus unsteady aeroelastic simulations of a single-stage turbine. In particular, the LEO forced response of the rotor blades excited by 3EO is 2.01 times higher than the resonance response excited by vane passing frequency, and the LEO resonance risk of the rotor blades is greatly increased. Then, by analyzing the flow characteristics of the wake and potential field of the stator row with a damaged vane, the localized high transient pressure in the notch cavity and the radial redistribution of the secondary vortex at the stator exit are the main sources of the low-order harmonic components in the flow field. Importantly, the interaction mechanisms in two regions with high LEO excitation amplitude on the rotor blade surface are revealed separately. Finally, an evaluation and comparison of a single damaged vane in terms of aerodynamic performance and LEO forced response was carried out. The results of this paper provide a good theoretical basis for engineers to effectively control the resonance response of rotor blades caused by a damaged stator vane in turbine design.

A computer code for optimizing the neutronics model parameters based on results of reactor physics experiments

The paper describes in brief the functional capabilities of a computer code for optimizing the neutronics model parameters (neutron data, technological parameters, and their covariance matrices) based on results of reactor physics experiments using conditional nonlinear multi-parameter optimization algorithms. The code’s application scope includes adjustment of neutron constants, technological parameters and their covariance matrices based on integral measurement results, formulation of requiremen117198ts with respect to the neutron data uncertainties for achieving the target accuracies in calculation of the reactor functionals, and estimation of the reactor performance prediction accuracy, as well as the informativity and similarity metrics of reactor physics experiments with respect to each other and in relation to the target reactor system. The paper also considers some examples of using the code to refine the neutronics models of nuclear reactor and fuel cycle systems based on results of reactor physics experiments.