In this study, a numerical simulation system was developed using python and MATLAB programming languages to analyze the Thermal -Hydraulic (T -H) characteristics of the fuel assembly in the MNSR reactor. Our research ...
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In this study, a numerical simulation system was developed using python and MATLAB programming languages to analyze the Thermal -Hydraulic (T -H) characteristics of the fuel assembly in the MNSR reactor. Our research aims to address a critical problem in nuclear reactor operation: understanding and optimizing the temperature distribution in the fuel assembly. This is essential for ensuring the safe and efficient operation of the reactor, as it helps maintain the reactor within its operational limits and prevents the risks of overheating or insufficient cooling. The simulation system employs the Finite Volume Method to discretize the governing equations for fluid mechanics and heat transfer, enabling the prediction of the temperature distribution in both radial and axial cases. The system also takes into account the effects of power distribution, fuel burnup, and coolant flow rate on the temperature distribution. The case study was performed on the fuel assembly and compared the simulation system's results with those obtained using the PARET/ANL code. The temperature profile in the axial direction showed that the coolant temperature increased continuously from the inlet value of 24.0 degrees Celsius to the outlet value of 70.0 degrees Celsius. The comparison indicates that the simulation system provides accurate and reliable predictions of the thermal -hydraulic (T -H) behavior of the fuel assembly. Furthermore, the developed numerical simulation system offers a valuable tool for analyzing the T -H characteristics of fuel assemblies in research reactors, which can be applied to other kinds of nuclear research reactors to help optimize their design and operation. The results of this study have broader implications for the nuclear industry and demonstrate the effectiveness of using python and MATLAB to develop simulation systems for predicting the thermohydraulic behavior of fuel assemblies in research reactors.
The characterization of the atomic structure of disordered systems, such as amorphous, glasses and (bio)molecule in solution, is a fundamental step for most theoretical investigations. The properties of short-and medi...
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The characterization of the atomic structure of disordered systems, such as amorphous, glasses and (bio)molecule in solution, is a fundamental step for most theoretical investigations. The properties of short-and medium-range local order structures are responsible for the electronic, optical and transport properties of these systems. Here, we present the BELLO open source code, a post-processing script-tool created for the automatic analysis and extraction of structural characteristics of disordered and amorphous systems. BELLO is agnostic to the code that generated single configurations or trajectories, it provides an intuitive access through a graphical user interface (GUI), and it requires minimal computational resources. Its capabilities include the calculation of the order parameter q, the folded structure identification, and statistical analysis tools such as atomic coordination number and pair/angle-distribution functions. The working principles of the code are described and tested on ab initio molecular dynamics trajectories of amorphous chalcogenides.
作者：
Dingel, KristinaHuhnstock, RicoKnie, AndreEhresmann, ArnoSick, BernhardUniv Kassel
Dept Elect Engn & Comp Sci Intelligent Embedded Syst Wilhelmshoher Allee 73 D-34121 Kassel Germany Univ Kassel
Inst Phys Heinrich Plett Str 40 D-34132 Kassel Germany Univ Kassel
Ctr Interdisciplinary Nanostruct Sci & Technol Heinrich Plett Str 40 D-34132 Kassel Germany Berlin HZB
Joint Lab Helmholtzzentrum Mat & Energie Artificial Intelligence Methods Expt Design AIM E Hahn Meitner Pl 1 D-14109 Berlin Germany Univ Kassel
Hahn Meitner Pl 1 D-14109 Berlin Germany
Due to its rising importance in science and technology in recent years, particle tracking in videos presents itself as a tool for successfully acquiring new knowledge in the field of life sciences and physics. Accordi...
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Due to its rising importance in science and technology in recent years, particle tracking in videos presents itself as a tool for successfully acquiring new knowledge in the field of life sciences and physics. Accordingly, different particle tracking methods for various scenarios have been developed. In this article, we present a particle tracking application implemented in python for, in particular, spherical magnetic particles, including superparamagnetic beads and Janus particles. In the following, we distinguish between two sub-steps in particle tracking, namely the localization of particles in single images and the linking of the extracted particle positions of the subsequent frames into trajectories. We provide an intensity-based localization technique to detect particles and two linking algorithms, which apply either frame-by-frame linking or linear assignment problem solving. Beyond that, we offer helpful tools to preprocess images automatically as well as estimate parameters required for the localization algorithm by utilizing machine learning. As an extra, we have implemented a technique to estimate the current spatial orientation of Janus particles within the x-y-plane. Our framework is readily extendable and easy-to-use as we offer a graphical user interface and a command-line tool. Various output options, such as data frames and videos, ensure further analysis that can be automated. Program summary Program Title: AdaPT CPC Library link to program files: https://***/10.17632/xxpnsbv3cs.1 Developer's repository link: https://***/adapt/adapt Licensing provisions: MPL-2.0 Programming language: python 3.6 Supplementary material: We provide supplementary material to increase the traceability of the provided example. It consists of an exemplary input video, the corresponding annotated video with tracked particles, a data frame including the tracking information, and a plot displaying the trajectories. Nature of problem: Particle tracking
A new method based on the Recurrence Quantification Analysis (RQA) of the heart rate (HR) offers an objective, efficient alternative to traditional methods for Aerobic Threshold (AerT) identification that have practic...
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A new method based on the Recurrence Quantification Analysis (RQA) of the heart rate (HR) offers an objective, efficient alternative to traditional methods for Aerobic Threshold (AerT) identification that have practical limitations due to the complexity of equipment and interpretation. This study aims to validate the RQA-based method's applicability across varied demographics, exercise protocols, and health status. Data from 123 cardiopulmonary exercise tests were analyzed, and participants were categorized into four groups: athletes, young athletes, obese individuals, and cardiac patients. Each participant's AerT was assessed using both traditional ventilatory equivalent methods and the automatic RQA-based method. Ordinary Least Products (OLP) regression analysis revealed strong correlations (r > 0.77) between the RQA-based and traditional methods in both oxygen consumption (VO2) and HR at the AerT. Mean percentage differences in HR were below 2.5%, and the Technical Error for HR at AerT was under 8%. The study validates the RQA-based method, directly applied to HR time series, as a reliable tool for the automatic detection of the AerT, demonstrating its accuracy across diverse age groups and fitness levels. These findings suggest a versatile, cost-effective, non-invasive, and objective tool for personalized exercise prescription and health risk stratification, thereby fulfilling the study's goal of broadening the method's applicability.
Transfer nodes are essential elements of public transport systems which provide door-to-door transport services for passengers. Parameters of the technological processes in public transport systems are stochastic vari...
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Transfer nodes are essential elements of public transport systems which provide door-to-door transport services for passengers. Parameters of the technological processes in public transport systems are stochastic variables, thus, computer simulations are usually used for solving optimization problems of public transport. There is a number of simulation tools supporting decision-making in public transportation, but they don’t provide the flexibility for solving the transfer nodes optimization problems. Authors present a library of classes implemented in python, which could be used for computer simulations of public transfer nodes. The proposed software allows researchers to change technological parameters during simulation procedures and makes possible automatization of simulation experiments in the field of passengers’ transportation.
Background: Despite the agreed principle that access to food is a human right, undernourishment and metal ion deficiencies are public health problems worldwide, exacerbated in impoverished or war-affected areas. It is...
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Background: Despite the agreed principle that access to food is a human right, undernourishment and metal ion deficiencies are public health problems worldwide, exacerbated in impoverished or war-affected areas. It is known that maternal malnutrition causes growth retardation and affects behavioral and cognitive development of the newborn. Here we ask whether severe caloric restriction leads per se to disrupted metal accumulation in different organs of the Wistar ***: Inductively coupled plasma optical emission spectroscopy was used to determine the concentration of multiple elements in the small and large intestine, heart, lung, liver, kidney, pancreas, spleen, brain, spinal cord, and three skeletal muscles from control and calorically restricted Wistar rats. The caloric restriction protocol was initiated from the mothers prior to mating and continued throughout gestation, lactation, and post-weaning up to sixty days of age. Results: Both sexes were analyzed but dimorphism was rare. The pancreas was the most affected organ presenting a higher concentration of all the elements analyzed. Copper concentration decreased in the kidney and increased in the liver. Each skeletal muscle responded to the treatment differentially: Extensor Digitorum Longus accu-mulated calcium and manganese, gastrocnemius decreased copper and manganese, whereas soleus decreased iron concentrations. Differences were also observed in the concentration of elements between organs indepen-dently of treatment: The soleus muscle presents a higher concentration of Zn compared to the other muscles and the rest of the organs. Notably, the spinal cord showed large accumulations of calcium and half the concentration of zinc compared to brain. X-ray fluorescence imaging suggests that the extra calcium is attributable to the presence of ossifications whereas the latter finding is attributable to the low abundance of zinc synapses in the spinal ***: Severe caloric restriction did not lea
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